Total 783 Junior Executive research nurse job vacancies in Singapore

Sequential has developed the world’s first at-home skin test, that deeply analyses your skin genetics and skin microbiome. Giving you a complete picture of what you’re born with (genetics) and the environment you are in (the microbiome). https://www.sequentialskin.com/.

We have a great opportunity for a laboratory technician role to join Sequential team.The core functions of this role are to assist in the daily operation of our Molecular Biology team. These functions include performing accurate molecular-based testing, develop and validate molecualr assays.

Key duties include:

• Assist in conducting laboratory experiments related to skin microbiome analysis, including sample collection, DNA extraction, and microbial culture.
• Support senior researchers in performing molecular techniques such as qPCR, DNA sequencing, and microbiome analysis.
• Help in managing and maintaining laboratory equipment and inventory.
• Contribute to data collection, organization, and initial analysis.
• Maintain accurate and detailed laboratory records.
• Provide support in preparing reports, documentation, and presentations.
• Stay updated on basic microbiome and molecular biology techniques.

Qualifications:

• Diploma or Bachelor’s degree in Microbiology, Biotechnology, Molecular Biology, or a related field.
• Familiarity with basic laboratory techniques such as pipetting, sample handling, and microbiology protocols.
• Strong organizational skills and attention to detail.
• Eagerness to learn and work in a team-oriented environment.
• Basic computer skills for data entry and record-keeping.

Experience

• Hands-on experience on performing DNA-based test, e.g. DNA extraction, PCR and qPCR.
• Practical knowledge of basic microbiological handling techniques is highly preferred.

Attributes

• Aseptic techniques to avoid the potential for contamination are a must.
• Good time management skills are a must, in order to keep up with the pace of a busy production environment.
• Proven ability to work efficiently without close supervision.
• Act with integrity at all times and maintain a high standard of work.
• Willing to learn and have a “can-do attitude”.
• Able to take initiative, and work in a fair and responsible way.
• Can communicate clearly and effectively across multiple teams.

Job description

The National University Health System Virtual Care Centre (NUHS VCC) is an initiative where trained personnel provides tele-triage to patients and/or their caregivers. VCC will either provide advice and resolve the clinical question or escalate to the VCC clinician where appropriate. To facilitate the development and evaluation of VCC at NUHS a research team has been established. This team is now looking for a research assistant/associate with experience of conducting research projects to join the group. The successful candidate will support research fellow on the evaluation of VCC.

Primary Responsibilities

1. Assist in designing and implementing research-related tasks.
2. Assist in recruiting and coordinating research participants
3. Help with data entry, cleaning, and management
4. Assist in collecting and analysing data from various sources
5. Conduct literature reviews and summarize findings
6. Assist in developing research papers, reports, and presentations
7. Maintain accurate and organized records of research data and findings

Secondary Duties

1. Attend VCC-related meetings
2. Collaborate with the research team to achieve project goals
3. Assume additional responsibilities as assigned by the reporting officer/HOD.

Job Requirements

1. Master and/or Bachelor's degree in a relevant field (e.g. social sciences, psychology, biology)
2. Minimum 2-4 years of experience in hospital research is a plus.
3. Ability to work independently, and communicate effectively in English, both verbally and written.
4. Experience of applying for ethical review would be an advantage
5. Ability to maintain confidentiality and adhere to ethical research standard.
6. Driven and motivated, with potential to achieve research excellence.
7. Ability to generate experimental results leading to high impact publications.
8. Multi-lingual preferable

If the role sounds interesting to you, please contact ‘[email protected]’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may apply.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, and demonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., or alternative qualifications in computer science, software engineering, (symbolic) artificial intelligence, computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, and demonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., or alternative qualifications in computer science, software engineering, (symbolic) artificial intelligence, computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

The first set of tasks will involve the following specific assignments:

• Expressing decision logic using DMN/FEEL
• Evaluating the rule engine API
• Encoding existing materials in L4 for open source distribution
• Building interactive UIs using HTML, CSS, JavaScript and Python

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant / Engineer in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on Safeguarding the Web Against Phishing and Prompt Injection Attacks. He/she should possess experience or interest in at least one of the following research areas:

• Algorithms & Theory
• Artificial Intelligence
• Programming Languages & Software Engineering
• Cyber Security

Qualifications

• Bachelors or Masters in Computer Science with a focus in AI/Machine Learning;
• Solid programming and application development skills with experience in PyTorch / TensorFlow or an equivalent deep learning framework.
• Possesses sufficient background in AI/Machine learning to read and understand methodologies in research papers

We are looking for dedicated candidates to support our research projects in either a part-time or full-time capacity.

Key responsibilities:

• Data Visualization: Create and maintain charts to present research insights effectively.
• Data Processing: Clean, organize, and analyze data using appropriate tools.
• Research Support: Assist with various stages of ongoing projects.

Requirements:

• Proficiency in Microsoft Excel
• Minimum Qualification: Diploma.
• Availability: Able to begin immediately upon selection.

Desired Skills:

• Attention to detail and accuracy
• Strong communication skills, particularly for phone verifications
• Ability to work both independently and collaboratively

Interested candidates, please email in your resume stating your full personal particulars, work experience, expected salaries and relevant qualifications (only shortlisted candidates will be notified).

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Prof Chng Wee Joo's lab in Cancer Science Institute of Singapore (CSI) is at the forefront of cutting-edge research in haematological malignancies, with a particular focus on multiple myeloma (MM), acute myeloid leukemia (AML), and natural killer/T-cell lymphoma (NKTL).

We are seeking a highly motivated and skilled Research Assistant to join our team and contribute to our translational research program. This program integrates genomics and proteomics technologies to drive clinically relevant discoveries in the diagnosis, prognosis, and treatment of these cancers.

As a Research Assistant, you will play a key role in supporting various research activities, including experimental design, data collection, and analysis, as well as laboratory management. You will collaborate closely with our team of scientists and clinicians to help advance our bench-to-bedside research pipeline, translating laboratory findings into potential therapeutic interventions for haematological malignancies.

Duties and Responsibilities

Conducting Research

• Assist in performing high-throughput genomics and proteomics analyses on human tumor samples and model systems.
• Participate in pre-clinical validation studies of novel therapeutic targets identified from genomic and molecular discoveries.
• Support ongoing research projects focused on molecular subtyping, disease progression, and therapeutic resistance in MM, AML, and NKTL.
• Assist in testing novel compounds targeting oncogenic pathways (e.g., EZH2 inhibitors in AML).

Data Collection and Analysis

• Prepare and process biological samples for genomic and proteomic studies.
• Utilize bioinformatics tools and relational databases for system biology analysis and integration of clinical and molecular data.
• Contribute to data management and statistical analysis of experimental results.

Laboratory Management

• Assist in the maintenance of laboratory equipment and inventory.
• Ensure proper documentation of experimental procedures and findings.
• Maintain high standards of laboratory safety and protocol compliance.

Collaborative Research

• Work closely with senior researchers, clinicians, and other laboratory staff to validate research findings and contribute to ongoing projects.
• Assist in the management of a comprehensive tissue bank and clinical database.
• Present findings in lab meetings and contribute to the preparation of manuscripts for publication.

Qualifications

• Bachelor’s or Master’s degree in Biology, Biochemistry, Biomedical Sciences, or related field.
• Prior experience in molecular biology, genomics, or proteomics techniques is highly desirable.
• Familiarity with haematological malignancies and cancer research is a plus.
• Experience with bioinformatics tools and databases is advantageous.
• Strong organizational skills and attention to detail.
• Excellent written and verbal communication skills.

Preferred Skills and Attributes:

• Passion for cancer research and a strong interest in translational medicine.
• Ability to work collaboratively in a multidisciplinary team.
• Strong problem-solving skills and ability to adapt to new challenges.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Summary

Cancer Science Institute of Singapore (CSI) is establishing a new research lab under the leadership of Dr. Zhou Yilong. The lab will focus on RNA biology, cancer, and immunity.

We are seeking a highly motivated, dedicated and detail-oriented Research Assistant to contribute to the lab's cutting-edge research on RNA-protein interactions, biomolecular condensates, and the role of RNA helicases in cancer. In addition to research responsibilities, the Research Assistant will play a crucial role in commissioning the lab, setting up essential equipment, and ensuring operational readiness.

Qualifications

• Bachelor’s or Master’s degree in Molecular Biology, Biochemistry, Cancer Biology, or a related field.
• Prior experience with lab setup, equipment management, or commissioning of research facilities.
• Strong skills in molecular biology techniques (e.g., RNA isolation, PCR, cell culture, CRISPR).
• Knowledge of RNA biology, cancer biology, or immunology is advantageous.
• Familiarity with bioinformatics tools for RNA sequencing analysis is a plus.
• Strong organizational skills and attention to detail.
• Ability to work both independently and as part of a team.

Preferred Experience:

• Experience with RNA helicases, biomolecular condensates, deep-sequencing and proteomic techniques.
• Prior involvement in lab commissioning or management.
• Familiarity with cancer models and translational research in RNA therapeutics in cell and animal level.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant (1 year, Diabetes and chronic disease projects)

We are looking for a full-time research assistant to support ongoing research projects in the areas of diabetes and related chronic diseases. The successful candidate will be expected to support in the recruitment of research participants, conduct of study procedures, data management, and coordination with multiple stakeholders. The candidate will be working under the Principal Investigator, Associate Professor Kavita Venkataraman, and will have the opportunity to acquire skills in chronic disease research.

Responsibilities:

• Coordination of study activities
• Participant recruitment and outreach
• Conduct of study visits and participant follow up, including informed consent, questionnaires, assessments and phlebotomy
• Management of study data, and study files
• Management of supply inventory and budget monitoring
• Liaison with participants as well as internal and external teams partnering the studies
• Support for ethics and other administrative approvals, and reporting for the same

Requirements:

• Bachelor’s degree/ diploma in life sciences, allied health, health communications, or related disciplines
• Proficiency in Chinese will be an advantage as the position will work with older adults who are likely to be Chinese speaking participants.
• Excellent written and oral communication skills
• Strong organizational and time-management abilities, as well as administrative skills to manage multiple tasks and meet deadlines
• Prior experience with clinical/ public health research will be an advantage
• Attention to detail and commitment to data accuracy and quality
• Ability to communicate effectively

Applicants should include a brief statement of interest, CV, list of publications (if applicable) and the names and email details of 3 referees who may be contacted immediately if shortlisted.

Recruitment is open immediately and will continue until all positions are filled.

Centre for Lifelong Learning and Individualised Cognition CLIC is a research collaboration between the University of Cambridge and Nanyang Technological University (NTU) and hosted by the Cambridge Centre for Advanced Research and Education in Singapore (CARES) that aims to develop neuroscience-based interventions for lifelong flexible learning. Launched in October 2020 and funded by the National Research Foundation Singapore, CLIC brings together a multidisciplinary team of psychologists, neuroscientists, linguists and educators who conduct innovative research in the science of learning.

The world of today is constantly evolving to keep pace with advances in technology and globalisation, requiring individuals to adapt and develop new skills to ensure resilience through a culture of lifelong flexible learning. Mental flexibility is required in order to adapt to change, problem-solve creatively in new situations and make the most of opportunities including emerging career opportunities. The capacity for cognitive flexibility is thus central to the modern digital age and our education system needs innovation to ensure citizens are equipped to develop these future skills. For example, major global challenges, including climate change, renewable energy, and food security, will require novel and creative approaches and solutions.

CLIC researchers are developing a neuroscience-based model of flexible learning, including important social contextual factors, in order to inform the design of practical, real-life interventions for use in schools and the workplace. This will ensure that individuals are not only prepared for future career success, but also have a good quality of life and wellbeing, thus supporting a flourishing society.

The CLIC program is seeking one full-time Research Assistant (with potential opportunities for reappointment). The research assistant will support research activities focusing on cognitive flexibility and learning, and training-related brain changes among adults and adolescents. Given the highly inter-disciplinary nature of the project, the research assistant will be expected to take on opportunities for involvement in research activities related to human neuroimaging, language, infant cognition/learning and pedagogy.

Key Responsibilities:

• Support the recruitment of approximately young adults (18 – 30 years) from vocational institutions (e.g. ITE, polytechnics and universities) as well as from the general working population via community sampling (e.g. community centres, clinics, via social media platforms).
• Organize the collection of datasets
• Overview and standardize protocols for data coding, data entry and data analysis for the datasets
• Assist with the preparation of conference presentations journal papers
• Other administrative duties

Job Requirements:

• Bachelor degree in Psychology, Neuropsychology, Cognitive Neuroscience or a related discipline
• Prior experience in conducting adult cognitive testing and neuroimaging (fMRI, EEG)
• Prior experience with participant recruitment processes
• Prior experience and familiarity with data management protocols and ethical regulatory frameworks in Singapore
• Experience in performing general administration tasks for research projects
• Experience in producing research reports
• Good statistical knowledge and skills, including familiarity with statistical analysis software such as R and SPSS
• Good IT skills (Office®)
• Strong interpersonal, written and verbal communication skills
• Excellent organizational skills and able to work within given deadlines
• Excellent time management and organizational skills.

We regret that only shortlisted candidates will be notified.

Please apply by uploading your CV and academic transcript to NTU job portal link.

If you have any questions, please feel free to reach out to us at [email protected].

Job Title: Research Assistant (Design Innovator) in the Design Innovation team of SUTD

Description:
As a Design Innovator, you will play an important role in the successful realisation of DI projects and programs. Key components of the job are design competencies, in particular those involving users, user needs, conceptual design, prototyping, industrial design, analytical design, digital design, data-driven design, and user validation, and the ability to liaise with internal and external partners and stakeholders on a regular basis.

You will be part of the Design Innovation team and are expected to contribute to its vision, aims and programs - Design Education, Design Guidance, and Design Incubation – as well as design research, with an emphasis on Design Guidance. You are also expected to participate in SUTD events, support the organization, and support the work of other members of the DI team, as and when required.

If you imagine and dream of an employment opportunity with empathy, creativity, mindfulness, inclusivity, passion, autonomy, daring, and excellence in outcomes at its heart and soul, then this is the opportunity for you. Its realization depends on your willingness to embrace and grow boundlessly within these characteristics and mindsets.

Areas of Focus:

Design Guidance Projects

• Support and/or co-lead projects contributing industrial design, design engineering, systems design or product-service-systems development skillset.
• Mentoring and co-creating in innovation projects with public and private external partners and teams.
• Depending on background and skill sets, develop user experiences (UX), user interfaces, digital solutions, and data-driven solutions for and with external and internal partners.

Design Innovation Workshops and Education, Embedding Design

• Work with the DI Director to engage key stakeholders.
• Facilitate Design Innovation workshops and educational modules.
• Grow into role lead facilitator or co-lead for workshops.
• Develop Design Innovation content for delivery in workshops and education modules.
• Engage external partners to embed, catalyze, and grow design in their organizations.

Skillset:

Industrial Design:

• Develop concepts and prototypes for physical products, considering aesthetics, ergonomics, materials, and manufacturing processes.
• Conduct research on user needs, market trends, and competitor analysis to inform design decisions.
• Create detailed technical drawings and specifications for product development.

UX-UI Design:

• Design intuitive and user-friendly digital interfaces for web and mobile applications.
• Conduct user research, usability testing, and gather feedback to inform design iterations.
• Develop wireframes, user flows, and interactive prototypes to visualize and validate design concepts.
• Collaborate with software developers to implement UI designs with attention to technical feasibility.

Visual Communication Design:

• Create visually compelling graphics, illustrations, and branding materials that align with brand identity and target audience.
• Design marketing materials, promotional assets, packaging, and presentations to effectively communicate ideas.
• Ensure consistency and coherence in visual language across various platforms and media.

Adobe Suite Proficiency:

• Leverage your expert knowledge of Adobe Creative Cloud applications (Photoshop, Illustrator, InDesign, XD, etc.) to execute high-quality designs efficiently.

Others:

• Provide general support to the Design Innovation Team
• Undertake and perform other duties as assigned
• Be involved with partners in pre-workshop/project meetings, discussions and proposals

Requirements:

• You should possess a degree and have practical design experience in areas of relevance to Design Innovation.
• You should be able to work to strict deadlines, apply a user-centred design approach with rigor, deliver high quality studies, concepts and prototypes, and work on multiple projects in parallel.
• You must enjoy being creative and working with a variety of people, have a passion for design, not be afraid to take on challenging tasks, and eager to learn new competencies. The ideal individual will have strong written, visual and verbal communication skills.

About the Design Innovation Team

The Design Innovation team is a group of world-leading interdisciplinary designers, technical professionals, and researchers leading the world of design. The Design Innovation team functions to develop fundamental and ground-breaking results in design science as well as to fulfil the mission of a better world by design through a porous interface with industry, government, and social projects. This interface allows for a seamless integration of empirically grounded design methodologies that directly lead to outcomes with positive impacts at the social, media, and technological levels. The team is highly multi-disciplinary and leverages the ethos of a human-centred design approach with fundamental scientific studies in technology to create solutions to real world wicked problems, opportunities, and grand challenges.

TCM Medical Hall looking for experienced sales personnel with experience in order stock and keeping stock, cashier duties and assistance to TCM Physician

Flexible work hours

Remuneration to commensurate with ecperience and perfornce.

All leaves as per MOM

To apply, Whatsapp 90222230

Job Description

Perform a variety of research activities which include planning, organizing, and conducting research studies under the supervision of the Principal Investigator (http://www.digitalmedicinelab.org/):

• Apply statistics, machine learning, and deep learning to analyse various types of clinical data such as large-scale electronic health records, bio-signals, and/or medical images (MRI, CT, X-ray).
• Conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact in medical informatics and health data science.
• Write high-quality technical/methodological research papers, present research outcomes and develop connections with local and international researchers for collaboration work.
• Provide guidance and mentorship to junior researchers and graduate students, and get involved in occasional educational/instructional activities.
• Perform other academic duties as required by the Principal Investigator.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Statistics / Biostatistics / Computing / Engineering / Epidemiology with good mathematical knowledge and extensive research experience in machine learning and statistics.
• Proven record of publications in reputable journals and/or good machine learning and data science conferences.
• Possess good programming skills in R and Python.
• Have interests in applying statistics and machine learning to solve real-world medical problems.
• Willing to conduct independent research as well as support team research activities.
• A strong team player with the ability to work harmoniously with a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description:

The Signature Research Programme in Health Services and Systems Research is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

This position will report directly to Senior Health Economists in the Health Economics Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees and markov models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Assist with teaching for relevant related modules.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements:

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Health Economics / Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as STATA.
• Proficient with Microsoft Office Suite.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams

We regret that only shortlisted candidates will be notified.

Job Description

The Laboratory for Translational and Molecular Imaging (LTMI) at Duke-NUS Medical School is looking for a Research Assistant to support in vitro and in vivo research efforts surrounding nuclear and optical imaging. The LTMI group advances state-of-the-art small animal imaging platforms and fosters the translation of molecular imaging probes and associated technologies. Multimodal in vivo imaging techniques are employed at LTMI, including computed tomography (CT), positron emission tomography (PET), single photon computed tomography (SPECT), and fluorescence imaging.

• Perform molecular biology experiments (e.g. PCR, Western blot) and live cell assays.
• Maintain cells, creating cell banks, and perform quality control.
• Handle radioactive and infectious (live virus) materials for in vitro and in vivo studies.
• Animal handling, including cancer cell implantation and injection of test materials.
• Perform ex vivo assessment including but not limited to histology (e.g. IHC, IF, H&E staining).
• Carry out laboratory experiments according to SOPs.
• Ensure accurate monitoring, documenting and reporting of experimental results and research findings.
• Assist in procurement and inventory of equipment, chemicals, reagents, and consumables.
• Assist in management of multiple projects.
• Maintain laboratory records (MSDS, chemical, biohazard) and assist in preparation of SOPs.

Job Requirements

• Bachelor’s or Master’s Degree in Molecular Biology, Biology, Biochemistry or a related scientific area with at least 2 years of relevant research experience and training.
• Experience in Cell culture, molecular biology, in vitro assays and tissue analysis required.
• Certified in animal handling, preferably with RCULA certificate.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant position in Dr Mohammad Alfatah’s lab, part of Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. The lab focuses on discovering anti-aging interventions to delay ageing and chronic disease onset, increase healthspan and improve life quality. Appointments will be on a 1-year contract in the first instance, with the possibility of extension.

Purpose of the post

The Research Assistant (RA) will be responsible to and work closely with Dr Mohammad Alfatah to provide support in research projects with a specific focus on discovering chemical (drugs, natural products, metabolites, etc) and genetic anti-aging interventions. This includes assessing the effectiveness of potential compounds in various age-related disease models.

Main Duties and Responsibilities

1. Perform daily basic chemical and genetic high-throughput screening in yeast and human cells, molecular biology experiments related to DNA, RNA, protein and cell culture work.
2. Conduct literature searches, experimental plans, and data analysis independently and reliably.
3. Oversee the general management of the lab including managing inventories of chemical, cell lines and instruments.
4. Provide administrative support to the project, maintain communication and collaboration with other members of the research team.
5. Assist with any other duties of a similar nature that are delegated by the PI.

Qualifications

• Bachelor’s degree and/or Master’s degree in Life Sciences, Biomedical Science, Molecular Biology, or a related discipline.
• Able to work independently and in a team as well, self-motivated with initiative and keen to learn new techniques.
• Previous experience in laboratory work, particularly in cell culture and in molecular biology techniques is preferred.
• Experience in bioinformatics, particularly with programming skills in Python and R, would be a plus.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Mohammad Alfatah at [email protected].

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is available to investigate the role of epigenetic modifiers in rhabdomyosarcoma.

Qualifications

Self-motivated candidates with a recent Bachelor’s degree and experience in molecular biology and/or familiarity with bioinformatics are encouraged to apply.

Interested candidates should send their CV and names of three referees.

For more information, please visit our website:

https://medicine.nus.edu.sg/phys/lab/Tanejas_Lab/index.html

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and detail-oriented Research Assistant to join our team at the forefront of iPSC biobanking. The successful candidate will play a pivotal role in the collection, characterization, and maintenance of induced pluripotent stem cell lines, contributing directly to cutting-edge research initiatives in regenerative medicine, disease modeling, and drug discovery.

Responsibilities

1. iPSC Reprogramming

• Execute established protocols for the reprogramming of iPSC lines.
• Collaborate with researchers to further optimize workflow for reprogramming.
• Explore alternative workflows for reprogramming.

2. iPSC Culture and Maintenance:

• Execute established protocols for the culture and expansion of iPSC lines.
• Monitor cell growth, viability, and quality control parameters.
• Perform routine passaging and cryopreservation of iPSCs.
• Maintain accurate records of cell culture activities.

3. iPSC Characterization:

• Conduct immunocytochemistry, flow cytometry, and molecular biology techniques to assess pluripotency and differentiation potential of iPSC lines.
• Perform karyotyping and other cytogenetic analyses to ensure genomic stability.
• Collaborate with researchers to design and implement experiments for iPSC characterization.

Responsibilities

4. Biobanking Operations:

• Coordinate sample collection, processing, and storage according to standardized protocols.
• Label, track, and catalog iPSC samples in the biobank database.
• Implement quality control measures to ensure sample integrity and compliance with regulatory requirements.
• Assist in the development and optimization of biobanking workflows.

5. Data Management and Analysis:

• Compile and organize experimental data, including cell culture records, characterization results, and biobank inventory information.
• Analyze data using statistical methods and assist in the preparation of research reports and presentations.
• Contribute to the maintenance and updating of laboratory databases and electronic notebooks.

Responsibilities

6. Laboratory Support:

• Maintain cleanliness and orderliness of the laboratory.
• Assist in the procurement and organization of laboratory supplies and reagents.
• Support other members of the research team in experimental procedures and technical troubleshooting.

Qualifications

• Bachelor's in Biology, Biochemistry, Molecular Biology, or a related field.
• Hands-on experience in cell culture techniques, preferably with human pluripotent stem cells.
• Familiarity with basic molecular biology and cell biology techniques (e.g., PCR, Western blotting, immunocytochemistry).
• Strong organizational skills and attention to detail.
• Ability to work independently as well as part of a collaborative research team.
• Prior experience in biobanking or sample management is advantageous.
• Knowledge of relevant safety protocols and regulatory guidelines in cell culture and biobanking is desirable.

This position offers an exciting opportunity to contribute to groundbreaking research in iPSC biology and biobanking, with potential for career development and growth within our dynamic research environment.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in advancing sketch prototype concept creation using Large Multimodal Models (LMMs). This role involves contributing to a groundbreaking project aimed at developing and studying novel means of interaction with state of the art LMMs that the research team will develop.

Key Responsibilities:

• Develop, refine, and deploy our sketching application
• Collect and analyse data from the prototype
• Collaborate with a multidisciplinary team to integrate LMMs into the sketching application.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the design and development of interaction techniques for novel human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in rapid prototyping and human-AI interaction, particularly in LMMs.
• Experience in research methods, statistical analysis, AI and LMMs.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.

About the Role:

We are seeking a highly motivated Research Assistant to join our interdisciplinary team addressing critical issues in mental health using AI technologies. This role involves contributing to a groundbreaking project aimed at developing AI-driven tools for mental health support, with a focus on detecting and treating mental health disorders and distress through digital platforms.

Key Responsibilities:

• Assist in the development and refinement of algorithms designed to detect social communication patterns and signs of mental distress.
• Participate in the design and testing of AI models, including data collection, preprocessing, and analysis.
• Collaborate with a multidisciplinary team to integrate AI tools into social media and messaging apps to offer real-time mental health support.
• Help conduct empirical research, including designing studies, recruiting participants, and managing experimental data.
• Contribute to the development of empathetic conversational support systems facilitated by human-AI interactions.
• Support the team in writing research proposals, progress reports, and academic papers.
• Engage actively with project stakeholders to facilitate the adoption and implementation of research findings.

Qualifications, Skills, Experience

• Bachelor’s or Master’s degree in Psychology, Computer Science, Data Science, or a related field.
• Strong interest in mental health research and AI technologies.
• Experience in research methods and statistical analysis, preferably with exposure to machine learning or natural language processing.
• Excellent organisational and communication skills.
• Ability to work collaboratively in a team environment as well as independently.
• Prior experience in handling sensitive data and ethical considerations in mental health research is advantageous.

The SingHealth Duke-NUS Global Health Institute (SDGHI) is an enabling platform for global health activities across the SingHealth Duke-NUS Academic Medical Centre (AMC). The Institute aims to address current and emerging health challenges across ASEAN member states and in other Asian countries. Working in collaboration with partners, SDGHI seeks to tackle prevalent health challenges, strengthen health systems and better insulate countries from pandemics and disease threats.

We are recruiting a Research Assistant to support the Regional Collaborating Centre team that is responsible for setting up hubs in the region that aim to consolidate, coordinate and catalyse global health projects.

The selected candidate will be expected to work collaboratively across functional departments at Duke-NUS Medical School and SingHealth, and with key internal and external stakeholders. The incumbent should ideally be comfortable working in a matrixed team and be ready to work in a fast-moving, fast-changing and dynamic environment.

The responsibilities of the role are to: -

• Provide support to the grant management process, monitoring progress of research projects and grant utilisation
• Provide regular progress reporting of potential, new and ongoing global health projects.
• Contribute to project management, presentations and publications of global health research work
• Assist with literature review in various global health research projects
• Assist with managing and facilitating receipt of grants and donations and track their utilisation.
• Facilitate and coordinate meetings between Principal Investigators within the AMC and partnering institutions in the region.
• Support the organisation of visits by and to partnering institutions with SingHealth’s International Collaboration Office.

Job Requirements:

• Bachelor’s Degree in Health Sciences, Social Sciences or other related disciplines with an aptitude for research
• Minimum 2 years of relevant work experience. Entry level candidates may also be considered
• Knowledge in health sciences will be beneficial.
• Prior experience working with institutions in low and middle income countries, preferably in Asia, would be advantageous.
• Demonstrated ability to interact and work with stakeholders and team members across various functions and levels in the organisation.
• Highly motivated individual and able to work independently in a fast-paced multidisciplinary setting with strong organisational and management skills.
• A good command of written English is required for this role.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Yang Liu on conducting research under a project on “In-Context Learning for Scientific Problems”.

The main responsibilities of the position include:

1. Develop AI algorithms for the research project
2. Implement the algorithms with Python
3. Train AI models and conduct numerical experiments
4. Write papers

Qualifications / Discipline:

- Bachelor’s degree in Mechanics, Computer Science, Mathematics, or other related disciplines

Skills:

- Programming with Python and PyTorch, LaTeX

Experience:

- Experience in conducting research on computational methods will be preferred.