Job Description

Chronic unresolved inflammation is a key pathogenic feature of prevalent inflammatory disorders and related syndromes that together are predicted to affect close to 60 million people with an annual cost of $90B. As such, the global anti-inflammatory therapeutic market is in urgent need for new targets for therapeutic intervention.

The Ho lab at Duke-NUS is building a platform to mine the human genome for novel determinants of the inflammatory response. We are seeking an experienced researcher who will participate and drive the execution of this platform in collaboration with other senior members of the team. The selected candidate will be expected to work at the bench as well as manage some aspects of the project such as administration of documentation required for smooth operations. Successful completion of the project will lead to opportunities for transition to industry roles. Candidates with strong technical ability and expertise in inflammation biology, and who are interested in taking discoveries from the lab through to commercialization are strongly encouraged to apply.

• Perform tasks and support all aspects of the research project.
• Cell culture and basic molecular biology (western blotting, PCR).
• Preparation of samples for NGS and proteomics analyses.
• Liaise with stakeholders including investors and grantors through regular meetings.
• Responsible for procurement related to the project such as vendor management, purchasing of laboratory supplies.
• Regulatory paperwork pertaining to the project (IRBs).
• Perform other related duties incidental to the work described therein.

Job Requirements

• Master’s Degree in Biology or related discipline. Candidates with PhD will be considered for Research Fellow appointment.
• At least 5 years of work experience in lab-based research.
• Track record of scientific output in inflammation biology (research publications).
• Demonstrated experience in molecular biology and cell culture.
• Experienced in project management and stakeholder management, and able to undertake independent research progressively.

We regret that only shortlisted candidates will be notified.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Health Services and Systems Research (HSSR) Programme at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world. The selected candidate will work in Cardiovascular Health Research Services Unit established under the CArdiovascular DiseasE National Collaborative Enterprise (CADENCE) national clinical translational programme. They will perform a variety of activities relevant to the planned economic evaluations for health interventions and assist a team of health economists.

Job Description

• Perform data cleaning, handling and analysis
• Perform economic evaluations in healthcare (cost analysis, cost-effectiveness analysis, cost-utility analysis or budget impact analysis) with guidance
• Assist in drafting research abstracts and manuscripts
• Assist in preparation of PowerPoint presentations to various stakeholders
• Conduct literature reviews to evaluate the potential value of health innovations
• Assist in preparation of evaluation reports for the health economics team
• Extract data from existing databases and published literature
• Manage projects from start to end with guidance (i.e. Develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform statistical analysis and engage and collaborate with various stakeholders)
• Support secretariat and administrative functions pertaining to the health economics team at HSSR

Job Requirements

• Bachelor’s Degree in any discipline. Master’s Degree in Public Health is preferred.
• Minimum 3 years of working experience with quantitative data
• Adept at working with data, including processing raw data to visualise trends and deciphering patterns and ability to handle large data sets
• Experience in various quantitative research methods preferred.
• Experience or training in health economics will be beneficial.
• Experience with R programming language, and a willingness to learn more applications
• Excellent verbal and written communication and interpersonal skills
• Able to work in a team, with dynamic reporting lines and multiple stakeholders
• Able to work independently with limited supervision
• Action-oriented, highly motivated and target-focused

Responsibilities

Established in 2023, the ByteDance Doubao (Seed) Team is dedicated to building industry-leading AI foundation models. We aim to do world-leading research and foster both technological and social progress.

With a long-term vision and a strong commitment to the AI field, the Team conducts research in a range of areas including natural language processing (NLP), computer vision (CV), and speech recognition and generation. It has labs and researcher roles in China, Singapore, and the US.

Leveraging substantial data and computing resources and through continued investment in these domains, our team has built a proprietary general-purpose model with multimodal capabilities. In the market, Doubao models power over 50 ByteDance apps and business lines, including Doubao, Coze, and Dreamina, and was launched to external enterprise clients through Volcano Engine. The Doubao app is the most used AIGC app in China.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve. Join us.

About the team

Welcome to the GAI-Vision team, where we lead the way in developing foundational models for multi-modal visual understanding and generation. Our mission is to solve the challenge of visual intelligence in AI. We conduct cutting-edge research on areas such as vision and language, large-scale vision models, and generative foundation models. Comprising experienced research scientists and engineers, our team is dedicated to pushing the boundaries of foundation model research and implementing our innovations across diverse application scenarios. We foster a feedback-driven environment to continuously enhance our foundation technologies. Come join us in shaping the future of AI and transforming the product experience for users worldwide.

Responsibilities

- Explore large-scale/ultra-large-scale visual models and perform system optimization. Data construction, instruction fine-tuning, preference alignment, model optimization.

- Conduct cutting-edge research and development in computer vision, natural language processing, machine learning and general artificial intelligence, especially in the areas of multi-modality, vision and language, etc.

- Publish our latest research results, and help to build our brand in the research community.

- Explore vision/multi-modality application models, and contribute to the development of new technologies and products leveraging artificial intelligence.

Qualifications

Minimum Qualifications

- Possess research and practical experience in one or more areas of computer vision, encompassing multi-modal understanding, vision-language models (e.g., video captioning, VQA, Text-to-video retrieval, and other related topics), large-scale training, RLHF, multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks.

- Experience with vision-language models and apply them in various downstream tasks.

- Possess coding skills in C/C++ and Python.

- Collaborate effectively with team members.

- Ability to work independently.

Preferred Qualifications

- Work with large-scale datasets, and build large-scale datasets to scale up foundation models.

- Demonstrate impactful publications in leading AI conferences (e.g., CVPR, ECCV, ICCV, NeurIPS, ICLR, SIGGRAPH, SIGGRAPH Asia) and journals (e.g., TPAMI, JMLR).

- Achievement as a winner in international academic competitions.

- Proficiency in one of the differentiable programming frameworks such as PyTorch, TensorFlow, JAX, etc.

ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Duke-NUS embodies a strategic partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) cluster which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education. Together, Duke-NUS and SingHealth form an Academic Medical Centre that comprises a number of academic collaborations.

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS is a centre of academic excellence for research and education on the organisation, funding and delivery of health services. The programme’ s focus is on public health and clinical service innovation in an increasingly complex and connected world.

The selected candidate will work with a health economics team providing qualitative research method support to various research activities. They will be required to conduct interviews, focus groups and relevant qualitative analysis, mainly with patient groups, clinicians and healthcare stakeholders. The activities will be relevant to the evaluation of healthcare interventions and care models, including but not limited to:

• Interview clinicians and patient groups
• Manage protocols development for research projects and IRB applications.
• Develop interview guides, plan and conduct all relevant qualitative data collection activities.
• Use appropriate software to collect, manage and analyse qualitative data.
• Manage transcribing activities.
• Conduct literature reviews to find information for new research ideas.
• Assist in the preparation of evaluation reports for the health economics team.
• Extract data from existing databases and published literature.
• Manage projects from start to end with guidance (i.e. develop research objectives and study design, perform data extraction and data collation, conduct data modelling, perform analysis and engage and collaborate with various stakeholders).
• Assist in drafting research abstracts and manuscripts.
• Assist in the preparation of PowerPoint presentations to various stakeholders.
• Support the secretariat and administrative functions of the health economics team.

Job Requirements:

• Bachelor’s or Master’s Degree in Public Health or other related fields.
• Minimum 1 year of working experience in Singapore’s healthcare setting
• Have experience with Singapore’s IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Laboratory for Translational and Molecular Imaging (LTMI), Duke-NUS Medical School, is recruiting a Research Fellow/Senior Research Fellow specialising in Nuclear Imaging within the Immuno-Oncology domain.

The successful candidate will lead pre-clinical imaging efforts to validate novel imaging probes that target immune cell biomarkers. He/She will be responsible for the strategic planning, execution and communication of research. Candidates with strong records of scientific accomplishment in radiopharmaceutical sciences, immunology or related disciplines are encouraged to apply.

• Lead development of nude, syngeneic, and humanised mouse tumour models, with characterisation of immunophenotype with treatment response
• Collaborate on in vivo imaging strategies for pre-clinical characterisation of targeting probe specificity and sensitivity with PET/CT, SPECT/CT and/or optical imaging
• Monitor immune response to immunotherapies with longitudinal imaging assessments, supported with IHC, FACS
• Ensure regulatory compliance of research, including legal and ethical requirements
• Ensure timely reporting and presentation of study results to the team, and making appropriate decisions on data obtained from imaging studies
• Write and review research papers, and present at local and international conferences
• Provide guidance and mentorship to junior researchers, graduate and/or undergraduate students
• Demonstrate effective organisation/project management abilities to efficiently manage time and work activities

Job Requirements

• PhD in Immunology/Radiopharmaceutical Sciences or related disciplines
• Experience in multimodality imaging and image analysis (including PET, SPECT, CT and fluorescence) within the immuno-oncology domain is preferred
• Background in molecular biology, cell biology and oncology
• Experience in mouse studies (injection, anatomy, necropsy, pathology) is an advantage
• Proven track record of academic publications, including writing/drafting first author papers
• Self-motivated individual, enthusiastic to take initiatives, as well as able to work independently and collaboratively in a team
• Demonstrate excellent communication, technical independence, analytical and problem solving skills
• Enjoy team-work and collaboration

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 Institute of Operations Research and Analytics (IORA) is seeking a dedicated and skilled Research Engineer to support our research projects focused on the implementation and analysis of machine learning (ML) algorithms. The successful candidate will be instrumental in providing coding expertise, data management, and analytical support to a range of projects in operations research and analytics.

This is an excellent opportunity for recent graduates passionate about applying their technical skills to real-world problems, particularly in the field of machine learning and data analytics.

Key Responsibilities

• Coding and Implementation: Develop and implement machine learning algorithms and models to support IORA’s ongoing and new research projects.
• Data Analysis: Conduct data processing, exploration, and visualization, delivering insights that guide research conclusions.
• Model Evaluation: Collaborate with researchers to evaluate model performance, optimizing algorithms for robustness and efficiency.
• Documentation: Ensure thorough documentation of code, data pipelines, and research findings to facilitate reproducibility and project continuity.
• Collaboration: Work closely with research teams to understand project objectives, gather requirements, and provide technical support in the form of coding and data analysis.
• Maintenance and Troubleshooting: Manage and troubleshoot issues in codebases and data pipelines as they arise, ensuring smooth and efficient project progress.

Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, or related field.
• Programming Skills: Proficiency in Python (preferred) or R, with experience in relevant libraries for ML and data processing (e.g., Scikit-Learn, Pandas, TensorFlow, PyTorch).
• Data Management: Familiarity with data extraction, cleaning, and preprocessing methods; experience with SQL or other database management tools is a plus.
• Machine Learning Knowledge: Understanding of machine learning fundamentals, including supervised and unsupervised learning, model selection, and evaluation techniques.
• Analytical Mindset: Strong analytical and problem-solving skills with attention to detail in data analysis and algorithm implementation.
• Team Collaboration: Ability to work collaboratively within a research environment, with effective communication skills to convey technical information clearly.

Preferred Experience

• Experience with version control systems, such as Git.
• Prior research experience or involvement in machine learning or data science projects is advantageous.
• Exposure to cloud computing platforms like AWS or GCP for ML model deployment (optional but a plus).

How to Apply

Interested applicants should submit their resume, a cover letter detailing their interest in the role, and any relevant project portfolios or coding samples that demonstrate their experience with ML and data analysis.

About VIAVI Solutions

VIAVI (NASDAQ: VIAV) is a global provider of network test, monitoring and assurance solutions for telecommunications, cloud, enterprises, first responders, military, aerospace, and railway. VIAVI is also a leader in light management technologies for 3D sensing, anti-counterfeiting, consumer electronics, industrial, automotive, government and aerospace applications.

We are the people behind the products that help keep the world connected at home, school, work, at play, and everywhere in between. VIAVI employees are passionate about supporting customer success and we welcome people who bring their best every day to the company - to question, to collaborate and to push for solutions that will delight our customers.

Role: PQC Research Engineer

Location: Singapore

Summary

We are looking for a highly skilled and motivated Research Engineer specializing in Post-Quantum Cryptography and AI technologies to join our advanced research team. The ideal candidate will have a strong foundation in mathematics, software development, and communication systems. The candidate will focus on designing, analyzing, and validating cryptographic solutions that remain secure against quantum computing threats, contributing to the future of secure digital communication.

Major Responsibilities

· Research and Development:

-Conduct cutting-edge research on post-quantum cryptographic algorithms.

-Investigate potential weaknesses in current cryptographic standards and help develop quantum-resistant algorithms.

-Design cryptographic protocols that ensure security and efficiency in a post-quantum world.

-Investigate and design adoption of AI technology.

· Mathematical Modeling:

- Develop mathematical models and theoretical frameworks for post-quantum cryptosystems.

-Conduct performance analysis and benchmark new cryptographic algorithms for robustness and scalability.

· Software Development:

-Implement and optimize post-quantum cryptographic algorithms in software, using programming languages such as Python, C, C++, or Rust.

-Work with existing cryptographic libraries and frameworks (e.g., OpenSSL, Liboqs) to integrate quantum-safe algorithms.

-Collaborate with software development teams to ensure secure integration of quantum- resistant cryptosystems into applications.

· Security Protocols & Systems:

-Design and test quantum-resistant security protocols for networks, cloud services, and distributed systems.

-Develop key exchange and digital signature algorithms that are secure in the quantum era.

-Explore hybrid cryptography solutions that combine classical and post-quantum techniques for immediate use.

· Collaboration andPublication:

-Work closely with interdisciplinary teams of researchers, cryptographers, and engineers to tackle the challenges of post-quantum cryptography.

-Publish research results in top-tier journals and conferences, and present findings to both technical and non-technical audiences.

· Prototyping andTesting:

-Design and implement proof-of-concept cryptographic systems for practical applications.

-Perform experimental testing to evaluate the performance, security, and efficiency of post- quantum cryptographic methods.

· Stay Updated:

-Keep abreast of the latest developments in quantum computing, cryptography, and related fields.

-Contribute to the company's post-quantum cryptography roadmap and long-term strategy.

Required Qualifications:

· Master’s Degree or above in Computer Science, Mathematics, Electrical Engineering, Information Security, or a related field.

· Proficiency in mathematics, particularly in number theory, algebra, and complexity theory.

· Hands-on experience in software development using languages such as Python, C/C++, Rust, or Go.

· Familiarity with communication protocols and security architectures.

Preferred Qualifications:

· Good understanding of cryptography, including symmetric and asymmetric encryption techniques.

· Good understanding of AI technology

· Experience with post-quantum cryptographic frameworks and algorithms (e.g., NIST PQC candidates).

Skills and Competencies:

· Strong analytical and problem-solving skills.

· Ability to collaborate in a multidisciplinary research environment.

· Excellent communication skills, both written and verbal, to effectively share research insights.

· High level of attention to detail and a proactive approach to emerging security threats.

If you have what it takes to push boundaries and seize opportunities, apply to join our team today.

VIAVI Solutions is an equal opportunity and affirmative action employer - minorities / females / veterans / persons with disabilities.

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 Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences

Qualifications

Qualifications / Discipline:

• PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:

• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Strong background in statistical modeling and machine learning
• Proven ability to develop and implement complex algorithms
• Excellent written and verbal communication skills
• Capable of conducting independent research and working collaboratively

Experience:

• Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
• Demonstrated experience in developing novel methodologies in representation learning
• Strong record of presenting at international conferences and workshops

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 Research Associate (Data Scientist / Artificial Intelligence Specialist) in the Department of Biochemistry, Yong Loo Lin School of Medicine. Specifically, utilising data science approaches involving machine learning and artificial intelligence, A/Prof Gruber’s team focuses on the development and validation of biological ageing clocks for clinical translation and application, as well as for drug discovery in model organisms. Appointments will be made on a two-year contract basis, in the first instance, with the possibility of extension.

Purpose of the post

The successful candidate should have a strong background in advanced machine learning, artificial intelligence, and bioinformatics techniques with practical applications to biological / -omics data. Specifically, he or she will be responsible for data analysis and for developing advanced computational models, algorithms, and tools to analyse and interpret complex biological datasets derived from multi-omics data. The ideal candidate will combine a strong understanding of advanced statistical, and state-of-the-art artificial intelligence and machine learning methods, as well as expertise in programming languages such as R and/or Python with training in biology, biochemistry or a related discipline.

Main Duties and Responsibilities

The Research Associate will work with other team members to develop and validate biological ageing clock algorithms, and will be accountable to the Principle Investigator (PI). The Research Associate will be able to:

1. Develop and apply computational models, algorithms, and tools to analyse and interpret large-scale biological datasets (e.g. clinical, genomics, transcriptomics, proteomics);
2. Collaborate with experimental biologists to design and analyse experiments, and interpret results;
3. Stay up-to-date on new computational methods and tools, and apply them to ongoing research projects;
4. Communicate research findings through publications, presentations, and reports;
5. Collaborate with cross-functional teams to integrate computational biology approaches with other disciplines (e.g. clinical medicine).

Qualifications

The applicant should:

• Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
• Strong programming skills in relevant languages such as R and/or Python;
• Experience with biological data analysis and interpretation;
• Knowledge of biological systems and processes;
• Excellent communication and collaboration skills;
• Strong problem-solving skills and ability to work independently.

Application

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to A/Prof Jan Gruber 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.

Location: Jurong West

Working Hrs: 44hrs/weekly

Responsibilities:

a) Provide support to teachers in teaching and learning

b) Assist in the preparation of apparatus, equipment and reagents for laboratory lessons

c) Maintain general cleanliness of equipment and workplace

d) Simple administrative and office work as and when request

e) Any other duties assigned by Science HOD or School

Qualifications:

• Candidate to preferably possess at least a GCE “O” Level qualification

• Good interpersonal and communication skills

• Ability to multitask, work both independently and as a team

• Prefer candidates to have at least 3 years of working experience as a Science Laboratory Assistant

• Preferably first aid trained

• Preferably competent in MS Office

ExodusPoint Capital, founded in 2017 by Michael Gelband and Hyung Lee, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm

We are looking for a Quantitative Strategies Research Analyst to join our team in Singapore. This person will work closely with portfolio managers on research projects with a focus on data-driven quantitative strategies.

Responsibilities:

• Collaborate with other technology teams to formulate innovative solutions for trading and risk management
• Responsible for data parsing, cleaning and processing research jobs

Qualifications:

• Degree from leading university in a quantitative or technical field
• Good communication skills to collaborate both within and across teams
• Knowledge of linear algebra and statistics
• Prior experience in finance a plus
• Proficient in at least one language (e.g. Python) and relational database

1. SUPPORT ASMI’S SUSTAINABILITY & INNOVATION COMMITTEE (SIC)

a. Promote adoption of innovation, decarbonisation and renewables within the marine sector

b. Facilitate transformation of the marine sector towards a low emissions future economy

c. Manage meetings of the SIC

2. ADVANCE MARINE DECARBONISATION

a. Administer the Marine Decarbonisation Champions (MDC) Programme

b. Organise MDC collateral activities

c. Engage external stakeholders including government agencies towards programme objectives

3. ORGANISE THE MARINE AND OFFSHORE (M&O) SYMPOSIUM

a. Coordinate and manage the annual industry thought leadership event

b. Showcase innovative efforts and initiatives in the marine sector

c. Engage ASMI members and other external stakeholders towards symposium objectives

4. GENERAL ADMINISTRATION

a. Support Grant writing for LEAD Programme for the Association (Primarily for the ITM Phase Two on Innovation and Sustainability)

b. Any other initiatives relating to industry development

c. Provide support to other ASMI events and activities as and when required

d. Undertake special projects and ad-hoc duties as and when assigned

We are looking for highly motivated individual who have a strong desire and passion to search for and validate novel molecular targets, biomarkers and therapeutic pre-drugs in multiple in vitro and in vivo disease models against neurodegeneration in Parkinson's disease and other human neurodegenerative disorder in our Translational Therapeutics Laboratory of National Neuroscience Institute of Singapore.

The successful candidate will be recruited to perform challenging and interesting molecular and cellular translational neuroscience research on human neurodegenerative diseases.

Requirements:

• Doctorate’s degree in medicine or Life Sciences with wet laboratory experience, majoring in Genetics / Biochemistry & Cellular Biology / Pharmacology or related discipline.
• Previous experience with stem cell biology, transcriptional factors and gene expression modulations, protein-protein interactions, C elegan models, gene edition and bioinformatics data analysis would be added advantages.
• Able to work independently on experimental design, innovative and scientific thinking, multiple task and manuscripts composition.
• Able to perform effective, versatile techniques and experiences on handling proteins, nucleic acids, neuronal and stem cells, C elegan.
• Able to communicate effectively with all levels, proactive and team player.

Lee Kong Chian School of Medicine (LKCMedicine) established in September 2010 is a partnership between Imperial College London and Nanyang Technological University, Singapore. The school operates from two campuses – Yunnan Campus at Nanyang Technological University and a new campus to be built at Novena. Our primary healthcare partner is the National Healthcare Group (NHG) which comprises an integrated network of primary healthcare polyclinics, acute care hospitals such as Tan Tock Seng Hospital, and national specialist centres. LKCMedicine delivers a new five-year undergraduate medical programme leading to a joint MBBS degree awarded by Imperial College London and Nanyang Technological University.

Antimicrobial drug resistance is a growing an alarming problem that poses serious challenges to the existing public health infrastructure of Singapore and of the rest of the world. Microbial pathogens are becoming more and more difficult to treat as they steadily gain partial and full resistance to last-line antibiotics.

Recalcitrant infections can add enormous costs and strains to health care systems that are already stressed. This is especially a concern in Singapore, where between now and 2030, the health care system will need to accommodate the costs associated with a population that will undergo an unprecedented age shift in which the number of residents aged 65 years or older will increase threefold. Altogether, there is an urgent need to develop new alternatives or compatible therapies to combat the growing problem of AMR.

We are currently recruiting a Research Fellow who will be working closely with Dr Kevin Pethe as part of a large interdisciplinary team.

Key Responsibilities:

The appointed Research Fellow will lead studies to evaluate the potency and pharmacokinetics of therapeutic phages in animal models of bacterial infections. The successful candidate will have the opportunity to work in a dynamic research environment with access to state-of-the-art core facilities.

• Lead research projects
• Evaluate bacteriophages in animal models of infection
• Study phages biology

Competencies and Qualification Requirements:

• PhD in Biological/Biomedical Sciences with expertise in bacteriology or infectious diseases (BSL-2).
• At least 1 years’ experience as Research Fellow
• Expertise in tissue culture, bacteriology, molecular biology and animal work

The Singapore University of Technology and Design (SUTD) is offering position for research assistant who will work closely with Dr. Meixia Lin working on various projects about Numerical Optimization, Convex and Non-Convex Optimization, Optimal Transport, Machine Learning, and others.

Priority will be given to those who have some computational experience.

Job Scope:

1. Input up-to-date research findings and prospect data into database.
2. Conduct simple research on prospective donors using public sources to help identify new individuals and corporates who could donate, and to help compile profiles to prepare fundraisers.
3. Compile and update donation and fund related information in the departments CRM database.
4. Provide support in preparation of data for development of new data analytics projects, e.g., studying effectiveness of email content.
5. Other basic database admin connected to prospects and donors.

Working Arrangement:

Working Hours:

Location: Nanyang Avenue

Salary: $2000-$2800/Month

Contract Duration: 6 Months (renewable subject to performance)

Requirements:

1. Minimum A-Levels/Diploma qualification
2. Possess experience working on databases and reviewing and collating quantitative data or qualitative information from public sources.
3. Possess some research experience and skills (e.g. academic/study research, market research, fundraising research).
4. Knowledge of MS Office applications including MS Excel and Word.
5. Ability to work on tight deadlines and work independently and in a team.
6. Demonstrate resourcefulness and flexibility.

EA License No.: 96C4864

Reg. No.: R22110485

Asia Insight is a market research consultancy based in Singapore. Asia Insight covers 14 countries across the Asia Pacific region and is a unique blend of client-side and strategic marketing experience. The company was started by researchers who have stayed a great many years on the client-side, and have returned to the research industry. And armed with a strong understanding of the client's business environment, and with a deep knowledge of the local cultures, we have helped many clients entrench their strategy in the intricate world of Asian consumers.

Interns will get a glimpse into the workings of a market research consultancy and learn the ropes of the corporate world. Asia Insight also uses the internship platform to source for and assess potential research consultants to join the company upon graduation.

Overview of Responsibilities

• Assist research consultants in all aspects of research projects, such as project setup, co-ordination and management, data collection, and data analysis
• Opportunities for direct exposure with focus groups and other meetings where clients are present.

We are looking for candidates who can commit full time for a minimum of 3 months. Please state the period of internship (start date and end date) you are applying for.

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

• To apply machine learning techniques to improve the accuracy of the inferencing system
• To select and analyze specific Android brand/model on their compatibility with the side-channel inferencing system
• To evaluate the performance overhead and accuracy of the inferencing system prototype

• Bachelor or Master Degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or related disciplines
• Project experience in machine learning or Android security is a plus
• Good communication skills in English
• Advanced level of programming and software implementation, especially in C/C++ and Java
• Good understanding of existing machine learning techniques
• Good understanding of Android architecture and Android executables
• Good analytical, technical, and problem-solving skills
• Self-motivated and willing to work in a term

#LI-JN2

We have a research position available in the Translational Therapeutics Laboratory of National Neuroscience Institute of Singapore (lab located in Neuroscience and Behavioral Disorders Program in Duke-NUS Medical School). We are looking for highly motivated candidates (BSc, MSc or Ph.D) who have a strong desire and passion to search for and validate novel molecular targets, biomarkers and therapeutic pre-drugs in multiple in vitro and in vivo disease models against neurodegeneration in Parkinson's disease and other human neurodegenerative disorders.

Highly meticulous researchers will be performing challenging and interesting molecular and cellular translational neuroscience research on human neurodegenerative diseases.

In addition, the candidate is expected to have independent working capability on experimental design, innovative and scientific thinking, multiple task handlings and manuscripts composition. The candidate should have effective and versatile techniques and experiences on handling proteins, nucleic acids, neuronal and stem cells, C elegan and as part of a team including enthusiastic, pro-active and co-operative approaches.

Job Requirements

• At least a Master degree in Life Sciences preferably, with at least two years of wet lab experience, preferably majoring in Genetics / Biochemistry & Cellular Biology / Pharmacology or related fields
• Applicants with a strong background in cellular & molecular biology and prior research experience on stem cell technology, protein-protein interactions, transcriptional factors and gene expression modulations, C elegans disease models, gene edition as well as bioinformatics data analysis are preferred.
• Previous experience with stem cell biology, transcriptional factors and gene expression modulations, protein-protein interactions, C elegan models, gene edition and bioinformatics data analysis would be an an added advantage.

Vaster Learning Pte Ltd, situated in the bustling business area of Novena, has emerged as a leader in providing both online and offline classes in a variety of subjects. By winning the support of many parents, it has gained tremendous recognition among the students. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. We aim at providing excellence in educational services.

Responsibilities

· Conduct 1-to-1 online/offline (@Novena) lessons

· Conduct group online/offline (@Novena) classes

· Create an engaging learning experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor learning progress and periodical exams

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

Requirements:

· A good Diploma/Degree in Science (Chemistry/Biology)

· Familiar with IB programme

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on new challenges.

· Flexible, able to manage change and ambiguity well and able to work under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and weekends

Contract Period: From 1 Jan 2025 to 30 Nov 2025.

Working hours:
*Mondays to Fridays: 8:00am to 1:30pm, not inclusive of lunch break
*Service not required on Saturdays, Sundays and gazetted public holidays

Scope of Services:

*Prepare Science teaching & learning resources based on:
1. Workbook requirements
2. Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab
*Maintain cleanliness of the two labs and the equipment
*Arrange for feeding of the fish in the aquaponics system (both indoor and outdoor), pond at eco-garden
*Stock-take of equipment at least twice a year
*Assist in the inventory taking when the external audit asset team comes by
*Assist teachers in the lab during lab sessions if required
*Assist teachers in innovative learning lab for Science-related activities whenever possible including setting up of projector to play video in canteen during recess time
*Assist teachers in preparation of activities for Environmental and Science club
*Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen
*Help to assist in recess activities during Science department events such as integrated learning week
*Help to assist during Science practical test days, will be required to work longer on some days in Term 2 to prepare and to assist during the days. (Up till 2:30pm, 2 – 3 days prior and after the practical test days)
*Must be confident in handling live specimens e.g. changing and clean of live stick insect tanks / changing leaves stalks for live caterpillars.

Qualification, Skill & Experience:

*Min GCE ‘O’ or ‘A’ Level
*Have experience working in similar work environment (prior working experience in a school will be an added advantage)

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Vaster Learning Pte Ltd, situated in the bustling business area of Novena, has emerged as a leader in providing both online and offline classes in a variety of subjects. By winning the support of many parents, it has gained tremendous recognition among the students. Our teachers are dedicated and have worked closely with our students to achieve their academic goals. We aim at providing excellence in educational services.

Responsibilities

· Conduct 1-to-1 online/offline (@Novena) lessons

· Conduct group online/offline (@Novena) classes

· Create an engaging learning experience for students

· Inspire and motivate students to excel in attaining their objectives for having tuition classes: be it exam preparation and academic improvement

· Monitor learning progress and periodical exams

· Prepare and deliver lessons that facilitate active learning experiences

· Communicate clear objectives for students learning activities

Requirements:

· A good Diploma/Degree in Science (Chemistry/Biology)

· Familiar with IB programme

· Passionate in teaching and inspiring teenagers

· High level of professional integrity and good work ethic

· A team player and a self-starter, open to feedback and willing to take on new challenges.

· Flexible, able to manage change and ambiguity well and able to work under tight deadlines.

· Relevant teaching experience (preferred)

· Adept in learning new educational tools and software where necessary

· Able to work on evenings and weekends

This advertisement is recruiting for the position of Science Laboratory Assistant.

If successfully selected, you will be seconded to MOE primary school located in Geylang East.

Contract Period: from 1 January 2025 to 30 November 2025

Personnel to be deployed at the following hours:

• Mondays to Fridays: 8:00am to 1:30pm, not inclusive of lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

The service required are set out as follows :

• Prepare Science teaching & learning resources based on:

1. Workbook requirements
2. Teaching needs e.g. pull out plant model display when the P3s are learning about plants to be showcased in the lab

• Maintain cleanliness of the two labs and the equipment
• Arrange for feeding of the fish in the aquaponics system (both indoor and outdoor), pond at eco-garden
• Stock-take of equipment at least twice a year
• Assist in the inventory taking when the external audit asset team comes by
• Assist teachers in the lab during lab sessions if required
• Assist teachers in innovative learning lab for Science-related activities whenever possible including setting up of projector to play video in canteen during recess time
• Assist teachers in preparation of activities for Environmental and Science club
• Look into the display and loaning of Science books to the students on an ad-hoc basis, either in lab or in the canteen
• Help to assist in recess activities during Science department events such as integrated learning week
• Help to assist during Science practical test days, will be required to work longer on some days in Term 2 to prepare and to assist during the days. (Up till 2:30pm, 2 – 3 days prior and after the practical test days)

Must be confident in handling live specimens e.g. changing and clean of live stick insect tanks / changing leaves stalks for live caterpillars.

The personnel shall minimally have the following qualifications, skills and experience:

• Min GCE ‘O’ or ‘A’ Level
• Have experience working in similar work environment (prior working experience in a school will be an added advantage)

The School of Physical and Mathematical Sciences (SPMS) of NTU is an exciting environment for research. The Yong research group works on novel problems in biological and complex systems and has published many high impact papers in top scientific journals such as Science, PNAS, Phys. Rev. Lett., etc.

Our approach is highly interdisciplinary, using emerging state-of-the-art methods from mathematics, physics, artificial intelligence, machine learning, topological data analysis, and statistics. We are interested in analyzing big data of complex systems such as DNA, RNA, biological networks, social networks, financial markets, etc., in order to understand their behavior, pattern and interaction.

Understanding the structure-function relationships of biomolecules is an active area of research due to its fundamental importance in biology, physics, and engineering. The emerging field of Mathematical AI for Molecular Sciences is proposed for molecular representation, featurization, and learning. We are interested in developing physical models using graphs, simplicial complexes for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruplex. The results from the research will provide key insights to understanding the structure-function relationships of biomolecules.

The Yong research group is looking for a highly motivated and qualified Research Fellow with the ambition of producing high quality research that can be published in high impact journals. The Research Fellow will be involved in research design, data analysis, model development, numerical simulations, and report/paper writing.

The Research Fellow is expected to perform state of the art numerical simulations using computing resources from National Supercomputing Centre (NSCC) Singapore. The incumbent has freedom to design the nature and type of deep learning simulations.

Key Responsibilities:

• Utilize recently developed mathematical tools from algebraic topology, combinatorial topology, computational topology, and differential geometry (e.g., Betti numbers, Hodge-Laplacian, discrete Ricci curvature) to characterize and model biopolymers such as DNA and RNA.
• Develop simplicial models for molecular representation, featurization, and learning, particularly in the context of nucleic acids such as DNA, G-quadruple, to better understand form-function relationship in biology.
• Use molecular modeling and AI (using e.g., the SMILES protocol) to quickly and accurately assess compounds with Essential Physicochemical Properties for drug design and development.
• Translate research findings into practical applications in pharmacology.
• Perform numerical simulations on National Supercomputing Centre (NSCC) Singapore.

Job Requirements:

• PhD from a reputable university, preferably in physical sciences or STEM related field.
• Good publication track record.
• Strong background in artificial intelligence and biochemistry with prior experience in numerical simulations.
• Expertise in numerical simulations, and the ability to code and run simulations on deep learning workstation/supercomputers clusters.
• Able to think and work independently and have the aspiration to perform high quality research that can be published in high impact journals

We regret to inform that only shortlisted candidates will be notified.