Total 1,241 research nurse job vacancies in d21 upper bukit timah clementi park ulu pandan

Carbon Capture Composite Materials

Recruitment for Research Assistant / Research Engineer / Senior Research Assistant

A research assistant position is available at the Singapore University of Technology and Design. The successful candidate will work on the design and synthesis of composite materials for carbon capture applications. The research assistant should have experience in composite material synthesis and fabrication using solution chemistry methods. Desired skills include demonstrated experience with solution-based chemical synthesis, surface functionalization of materials (e.g., ligand exchange, polymer grafting), or polymeric composite fabrication methods. Additionally, the research engineer will also be working closely with the engineering team to implement an innovative gas separation system. The research engineer will also be involved in the development of customized lab-based and field tests to evaluate the performance of the material.

Job Requirements:

• Possesses a Bachelor or Master’s degree in Chemistry/Materials Science/Chemical Engineering or relevant field
• Excellent written and oral communication in English
• Able to work and learn independently and in teams in a multidisciplinary setting
• Possess a high level of personal initiative and motivation

Specific Responsibilities

• Fabrication and characterization of materials
• Lab-based and field tests of composite systems
• Assist with research lab maintenance and safety, as well as managing of lab equipment
• Drafting of professional reports and presenting results to the research team on a regular basis

How to Apply

Applicants should send the following documents:

1. curriculum vitae,
2. two references and
3. a writing sample or examples of any published works including final year projects or thesis to Prof. Mei-Chee Tan, [email protected]

We have several available postdoctoral and research assistant positions at the Singapore University of Technology and Design (SUTD) to work in the area of Robotics. This position focus on supporting the design of algorithm for various robotics applications.

Qualification:
- Relevant Degree in Electrical Engineering, , Mechanical Engineering, Robotics, or related areas
- Strong hands on experience Preference will be given to those with prior robotics project experience such as:
1) SLAM;
2) ROS;
3) Sensor fusion;
4) Machine Learning;
5) Mobile platforms (eg: wheeled robots, legged robots); and
6) Manipulators

Applications, assembled as a single PDF file, should contain a complete resume, full list of publications, as well as the names and contact information of up to three references.

Interested applicants may send his/her CV to Assoc/Prof U-Xuan Tan via email ( [email protected] ). Review of applications will continue until the position is filled. Only shortlisted candidates will be notified.

The Lee Kuan Yew Centre for Innovative Cities at the Singapore University of Technology and Design is seeking a full-time Research Fellow or Research Associate, to join a growing research team dedicated to understanding human behavior in cities.

Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles critical questions about how cities shape people’s behaviors and, in turn, how cities should be designed to better serve their inhabitants.

Candidates should possess a strong interest in applying a human lens to transdisciplinary and collaborative research. Expertise in quantitative research methods and a background in social and/or behavioral science will be a plus.

This position is ideal for individuals interested in pursuing an academically grounded, applied research career.

The candidate will be expected to:

• Conduct and write literature reviews
• Participate in fieldwork and data collection
• Conduct quantitative and/or qualitative data analyses
• Contribute towards research conceptualization and methodology
• Assist in the preparation of manuscripts and reports for publications
• Collaborate and communicate research updates with both internal and external stakeholders

Skills and qualifications required:

• Obtained or expected Masters degree (for Research Associate) or PhD degree (for Research Fellow) related to the social sciences or behavioural sciences (e.g., Psychology, Behavioral Economics, Urban Studies, or related disciplines)
• Demonstrable skills in quantitative and/or qualitative data collection and analysis
• Excellent written and verbal communication skills
• Strong organizational and data management skills
• Proficiency with statistical software (e.g., R, STATA, SPSS, MPlus) is a plus
• Familiarity with Augmented Reality, Virtual Reality and/or neuroscience (e.g., fNIRS) research is a plus

How to apply:

Interested applicants are encouraged to send their application with the subject heading – Research Fellow/Associate (Urban Psychology Lab) to [email protected] with the following:

• Cover letter explaining your interest in the position and addressing the qualifications and skills requirements (1-2 pages)
• Curriculum vitae
• Two writing samples of publication or research work
• Three referees who may be contacted for a reference

Enquiries about the position can be addressed to either Samuel Chng ([email protected] ) or Sarah Chan ([email protected])

Appointment(s) will be initially made on contract basis for up to two years, renewable subject to good performance and mutual agreement.

We regret that only shortlisted candidates will be notified. Review of applications will commence from October 2024 on a rolling basis. Applications will be considered until the posts are filled.

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 Electrical and Computer Engineering (ECE) Department at the National University of Singapore (NUS) is seeking qualified applicants for the position of Research Engineer to join our team and contribute to our ongoing research projects related to IC design.

Responsibilities:

• Explore heterogeneous systems with silicon chips being integrated on unconventional substrates such as flexible and stretchable, for ultra-low power always-on and intelligent silicon platforms.
• Work on innovative circuit techniques with very wide power-performance scaling to minimize the system energy while providing targeted levels of performance on demand. Such techniques will be investigated for digital sub-systems in advanced technologies.
• Be responsible to conduct research at the circuit level, defining and validating design options and defining new integrated circuit techniques.

We offer a competitive salary commensurate with qualifications and experience, along with a stimulating research environment and access to state-of-the-art facilities. This is a full-time position with an initial contract duration of 12 months, with potential for renewal based on performance and funding availability.

Qualifications

The candidate must possess:

• Possess a Bachelor/Master’s degree in either Electrical Engineering or strictly related (e.g., Computer, Communication, or Information Engineering).
• Activity performed in multiple research environments and industrial experience are highly valued.
• Expertise on the project scope, ultra-low power always-on and intelligent silicon platforms.
• Knowledge on circuit and system-level chip design is valued.
• Analytical and problem-solving skills.
• Open to fixed term contract.

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Our Nurse will be responsible for coordinating, directing, and evaluating of patients’ care and treatment to ensure best clinical outcome and excellent premium patient’s care.

Job Responsibilities:

• Enforce compliance to clinical standards of care and professional code of conduct
• Facilitate clinical faculty development to support clinical learning
• Act as a liaison between patients and doctors to ensure that all essential medical communications are clear and accurately converted
• Administrative support to ensure smooths and efficiency of daily clinic operation
• Evaluate the quality and appropriateness of nursing care of patients with complex healthcare needs, including documentation, and make appropriate changes in nursing care delivery in collaboration with the doctors and the nursing team
• Other ad-hoc task assigned by the Doctor and the Head of Clinical Operations.

Job Requirements

• Diploma/Degree Qualification in Nursing
• General Registration with SNB is preferred
• Enrolled Nurse with years of experience/degree in Nursing may also be considered

Fixed income Multi Asset, Global Macro

Client Background

They are a leading global long term investment firm. One of the world’s largest sovereign wealth funds, investing in more than 40 countries across asset classes and businesses. Managing broad array of asset classes – global interest rate, inflation, currency, equity, credit, commodity and volatility.

Responsibilities:

• Lead and mentor a team of Strategists to enhance the global macro team’s investment process
• Screen investment opportunities, conduct FVT analysis and perform nowcasting/forecasting for insights
• Quantify potential portfolio risks and provide portfolio construction related recommendations
• Monitor asset movements, identify market trends and provide insights.

Requirements:

• Advanced degree in Mathematics, Statistics, Physics, Computer Science, Engineering or Economics
• Min 8 – 12 years of experience in quantitative role within finance as a Macro Quant
• Excellent understanding of Macroeconomics, Fixed Income Instruments, Options and Derivatives
• Proficiency in R or Python and SQL

Email: [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | Nurul Amirah | Registration No: R22108940

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

Research Assistant/Associate Policy Analyst – Population Health

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. The rapid population ageing in Singapore calls for innovative solutions. We aim to assess the impact of health promotion programmes (e.g. urban care farming, cognition training, etc) on the health and health-related behaviours of participants. This project will involve recruitment, assessment, and analysis of the research data. The candidate will also be working on models in policy evaluation. This is a full-time position based in Singapore.

Duties may include but are not limited to: (1) provide programming support to a research project (2) assist with recruitment and data analyses; (3) manage large complex databases; (4) conduct literature reviews (5) contribute to the development of scientific papers and the dissemination of the study findings.

The appointed candidate should: (1) Hold at least a bachelor degree (2) be proficient in Stata or R and (3) have experience in statistics, mathematics, econometrics, computer science, quantitative social science, public health, epidemiology or related field. Experience with C++ is preferred but not required.

The ideal candidate should demonstrate the ability to query large data sets and have excellent knowledge of quantitative methods in applied health and/or social sciences. Fluency in English, as well as demonstrably good writing and analytic skills are essential. Fluency in English is required as the candidate will deal with English-speaking stakeholders, such as conducting the research and meetings. The role will suit someone who enjoys problem-solving.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following during job application:

1. Cover note introducing themselves (no more than 500 words);
2. A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3. A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

• Assist the Medical Director in the consultation room and procedures both in & outside the Centre.
• Assist in laser refractive procedures and other minor procedures.
• Maintain stocks & inventory of surgical consumables and upkeep of operating theatre and instrument sterility.

Requirements:

• Fully registered with Singapore Nursing Board
• At least 2 years of nursing experience in Ophthalmic/Surgical setting

If you are keen to apply for the position, kindly email your detailed resume in MS Word to [email protected]

Please note that only shortlisted candidates will be notified.

For more job opportunities, please visit our website at www.recruit-expert.com

EA Licence: 19C9701

Registration: R1326740

Responsibilities

Conduct in-depth research in Decentralized Artificial Intelligence, and stay updated on the latest developments.

Prepare comprehensive research reports and represent the company in industry conferences to deliver presentations.

Be responsible for the company's business outreach in Singapore and establish partnerships for projects the company incubates.

Other tasks assigned by the company, including marketing, community growth.

Requirements

Hold a master's degree or higher in fields related to fintech or economics.

Over 5 years of experience in the Fintech industry.

Have proven successful cases.

Extensive experience in primary and secondary investments is a must.

Familiar with decentralized AI.

Have published academic papers and industry reports on decentralized AI.

Possess excellent written and verbal communication skills in both Chinese and English.

Be capable of working independently, leading a team, and effectively collaborating in a team environment.

Have abuandent connections in industry and academia.

Be available to travel as needed for industry conferences.

Staff Nurse

Working Days & Hours: 5 days | 5.5 Days | Shift Work
Working Location: Novena | Orchard | Islandwide
Salary Range: $2800-$5000

Job Scope:

• Manage day-to-day clinical duties in the operating theatre/recovery area/dispensering station.
• Ensure that all equipment is working correctly and adequately maintained
• Maintain patient records and documentation accurately.
• Provide high standards of patient care for all pre and post procedure.
• Provide utmost patient care and customer service to the patients and family members.
• Order and maintain inventory of medical supplies and materials
• Adhere to established protocols, policies, and procedures in providing patient care
• Perform all other duties as assigned by the Centre Manager and/or the Senior Management.

Job Requirements:

• Diploma in Nursing
• Full registration with the Singapore Nursing Board

Tan Jia Jun | REG No: R23112681
The Supreme HR Advisory Pte Ltd | EA No: 14C7279

Staff Nurse

Working Days & Hours: 5 days | 5.5 Days | Shift Work
Working Location: Novena | Orchard | Islandwide
Salary Range: $2800-$5000

Job Scope:

• Manage day-to-day clinical duties in the operating theatre/recovery area/dispensering station.
• Ensure that all equipment is working correctly and adequately maintained
• Maintain patient records and documentation accurately.
• Provide high standards of patient care for all pre and post procedure.
• Provide utmost patient care and customer service to the patients and family members.
• Order and maintain inventory of medical supplies and materials
• Adhere to established protocols, policies, and procedures in providing patient care
• Perform all other duties as assigned by the Centre Manager and/or the Senior Management.

Job Requirements:

• Diploma in Nursing
• Full registration with the Singapore Nursing Board

Tan Jia Jun | REG No: R23112681
The Supreme HR Advisory Pte Ltd | EA No: 14C7279

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

One postdoc position is available at the Surface and Interface Lab in Prof. CHEN WEI’s group, National University of Singapore. The successful candidate will work with Prof CHEN Wei on NAP-XPS investigation for interface engineered 2D materials under a project on NRF Investigatorship project "Interface Engineered Ferroelectric 2D Materials for Artificial Synapses and Neuromorphic Computing”.

The project focuses on the interface engineering for 2D materials for various applications, including neuromorphic computing and electrocatalysis, with particular emphasis on NAP-XPS technique. The selected candidate will work together with a team comprising experts in interfacial analysis about 2D materials and reaction mechanism study using home-made interface characterization tools.

Qualifications / Discipline:

• PhD in Chemistry or Materials in a research intensive and renowned University or Research Institute. The candidate shall publish at a few papers on top journals.
• Skills:
  Excellent English writing and communication skill, team management skill (help PI to lead a small research team with 1-2 master students), expert in 2D materials and NAP-XPS, structural characterizations using TEM/SEM/AFM/XRD, surface science techniques of XPS/UPS.
• Experience:
  The candidate shall have extensive experience in UHV surface science, particularly NAP-XPS technique, interfacial analysis and device applications of 2D materials.

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

We are seeking a motivated and skilled Research Assistant to support pioneering research in molecular microbial ecology and infectious disease evolution under the guidance of A/Prof Yann Boucher at the Singapore Centre for Environmental Life Sciences Engineering (SCELSE) – NTU. This position will focus on the ecology, evolution, and genomics of enteric bacterial pathogens, with an emphasis on understanding pathogen life cycles, adaptation, and survival in human and environmental reservoirs. The successful candidate will contribute to advancing culturomics approaches to the study of microbiomes and support the discovery of new bacterial species related to key pathogens such as Vibrio cholerae. This role will suit an individual passionate about microbiology, pathogen ecology, and experimental evolution.

Job Description

• Conduct laboratory-based research on the microbial ecology and evolution of enteric pathogens, with a focus on pathogen life cycles, antimicrobial resistance acquisition, and virulence factors.
• Assist in the isolation, characterization, and genomic analysis of bacterial species associated with the “cholerae clade” and other enteric pathogens.
• Support culturomics studies to examine microbial transmission dynamics between human and environmental systems.
• Collaborate with team members on experiments that investigate pathogen evolution over human timescales, particularly in response to environmental pressures and host interactions.
• Maintain detailed and accurate records of experiments, data collection, and data analysis using relevant software.
• Prepare research findings for publications, reports, and presentations, contributing to collaborative international projects.
• Daily lab management tasks such as inventory of supplies and samples, preparing culture media and solutions, autoclaving materials, ordering supplies and maintaining bacterial cultures and stocks

Requirements

• At least Bachelor’s degree in Microbiology, Molecular Biology, Epidemiology, or a related field.
• Prior experience in laboratory research, microbial ecology, or molecular genetics preferred.
• Proficiency in molecular techniques such as PCR, DNA extraction, sequencing, and bioinformatics software for genomic analysis.
• Strong data analysis skills and familiarity with microbial ecology or evolutionary biology concepts.
• Excellent verbal and written communication, able to prepare clear research documentation and contribute to team discussions.
• Highly organized, detail-oriented, with the ability to work both independently and collaboratively in a team-oriented environment.

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 Mechanobiology Institute (MBI) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in pathogenesis (ranging from bacterial to cancer), tissue regeneration, and function.

We are currently seeking a highly motivated postdoctoral fellow to join Prof. Lim Chwee Teck's lab at MBI. The Lim lab conducts research on biomedical problems relating to human diseases, in particular, diseases associated with cancer, malaria, sepsis and aging, and develops innovative mechanobiologically inspired platforms in microfluidics and wearable microdevices to detect, diagnose and treat such diseases.

Qualifications

Candidates with a PhD in engineering, biology, biomedical sciences, or related fields are encouraged to apply. A strong background in cell/ molecular biology is required, as well as prior experience with Nanofabrication. The candidate should possess excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment.

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. 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 Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Fellow (RF) will plan and execute research studies to better understand the impact of environmental heat stress on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator (PI) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Working closely with the PI to develop new research ideas, write up and present project proposals;
2. Designing research protocols and planning data collection strategies, guided by literature reviews and best practices;
3. Leading and training teams comprising Research Assistant(s), Students etc in the conduct of laboratory- and field-based research;
4. Establishing and managing databases;
5. Rigorous data analyses and interpretation of data;
6. Generating reports and high-quality publications for presentation to stakeholders and submission to top tier journals, respectively;
7. Leading a team comprising Research Assistant(s) and Students in the conduct of laboratory- and field-based research studies;
8. Working at different study sites, depending on the needs;
9. Working beyond routine work hours due to the nature of research;
10. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
11. Maintaining regular communication with other members of the research team; and
12. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a Doctorate, preferably in sport science, life sciences or related disciplines;
2. Have an interest and experience leading and conducting laboratory and field research with human participants;
3. Be proficient in statistics, data analyses and data visualisation for both quantitative and qualitative data;
4. Have excellent written and verbal communication skills;
5. Be adaptable and able to multi-task well;
6. Be able to work independently and in a team;
7. Have an investigative nature and be detail-oriented;
8. Have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, we aim to adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on one-year contract, with the possibility of one-year extension.

Purpose of the post

The Research Assistant (RA) will assist to plan and execute research studies to better understand the impact of heat on various populations. The successful candidate will be responsible to, and work with, the Principal Investigator and Co-Investigator(s) to ensure the successful and timely completion of the project.

Main Duties and Responsibilities

The duties and responsibilities of the successful candidate include but are not limited to:

1. Performing literature reviews, data collection and data analyses and drafting of reports and publications;
2. Supporting the conduct of laboratory- and field-based research studies;
3. Working at different study sites, depending on the needs;
4. Working beyond routine work hours due to the nature of research;
5. Maintaining the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
6. Maintaining regular communication with other members of the research team; and
7. Assisting with any other duties of a similar nature that are delegated by the PI.

Qualifications

The applicant should:

1. Have a good Bachelor’s degree, preferably in sport science, life sciences or related disciplines;
2. Preferably have an interest and/or experience in conducting laboratory and field research with human participants;
3. Be able to work independently and in a team;
4. Have an investigative nature and be detail-oriented;
5. Have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified. Review of applications will commence from November 2024 on a rolling basis. Applications will be considered until the post is filled.

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 Mechanobiology Institute (MBI) at the National University of Singapore is a multidisciplinary institute dedicated to developing new paradigms in biomedical research. We focus on the quantitative analysis of dynamic functional processes in pathogenesis (ranging from bacterial to cancer), tissue regeneration, and function.

We are currently seeking a highly motivated postdoctoral fellow to join Prof. Lim Chwee Teck's lab at MBI. The Lim lab conducts research on biomedical problems relating to human diseases, in particular, diseases associated with cancer, malaria, sepsis and aging, and develops innovative mechanobiologically inspired platforms in microfluidics and wearable microdevices to detect, diagnose and treat such diseases.

Qualifications

Candidates with a PhD in engineering, biology, biomedical sciences, or related fields are encouraged to apply. A strong background in cell/ molecular biology is required, as well as prior experience with cancer cell mechanics. The candidate should possess excellent communication skills and the ability to engage in collaborative research in a highly interdisciplinary environment.

Salary and benefits are commensurable to educational qualifications and working experience of the candidates. 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 Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made on a 10-month contract.

Main duties and responsibilities

A Research Fellow (RF) position is available at the National University of Singapore.

The RF will contribute to the development and implementation of statistical analyses within different projects in the field of Medical Statistics and Biostatistics, involving data from large heterogeneous cohorts such as GUSTO and S-PRESTO (more info at https://www.gusto.sg/ and https://www.s-presto.sg/ ). The projects are developed in close collaborations with researchers from A*STAR Institute of Human Development and Potential (IHDP) and NUS, working in different scientific areas, such as metabolomics and neuroscience, contributing to the interdisciplinary environment of the Institute. As such, excellent scientific communication skills are highly desirable. The RF will be asked to perform both routine and advanced statistical analyses, often characterized by a strong computational aspect.

Main Duties and Responsibilities

Topics of interest include, but are not limited to, longitudinal data analysis, graphical models, high-dimensional data analysis and Bayesian statistics. The candidate will work closely with Prof De Iorio, as well as collaborate with other researchers in A*STAR and NUS.

Applicants should hold or be close to submitting a PhD in Statistics or a related field such as Biostatistics, Mathematics or Computer Science, with a documented competence in Statistics and/or Biostatistics.

Knowledge of programming in R and other coding languages commonly used in Statistics such as C++/Python.

Qualifications

The applicant should:

1. Hold a Ph.D., preferably in Statistics/Computer Science
2. Have a strong background and extensive research experience in conducting human trials;
3. Have a good record of international publications in human research;
4. Proficient in the use of computer applications and data analysis software, e.g.MS Office, SPSS;
5. Excellent command of spoken and written English, and have strong interpersonal and communication skills;
6. Work independently and a good team player; and
7. Have an investigative nature and detail-oriented, highly motivated problem-solver.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

The candidate is required to research and develop advanced multimodal foundational model, with initial focus on speech and text. The work involves defining and implementing novel deep learning methodologies to achieve state-of-the-art performance for different spoken language tasks. The candidate is also expected to collaborate with other research scientists and engineers to adapt the foundational model to specific use cases. Proficiency in problem-solving, coding, effective communication, and collaborative teamwork is crucial for this role.

Job Requirement:

• PhD in ML, NLP, speech and spoken language processing and multi-modal AI
• Proficient programming skills, familiarity with Linux is a must
• Familiar with different deep learning and LLM training frameworks
• Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
• Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description:

The candidate needs to research and develop cutting-edge multimodal (speech-text) foundation model, define, develop novel deep learning techniques to achieve and advance SOTA accuracy with real-time performance. The candidate will have to collaborate with other research scientists and engineers to apply the foundation model for identified use cases. Strong problem solving, coding, effective communication, and collaborative teamwork is required.

Job Requirement:

· PhD in ML, NLP, speech and spoken language processing and multi-modal AI

· At least 5 years of experience

· Proficient programming skills, familiarity with Linux is a must

· Familiar with different deep learning and LLM training frameworks

· Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills

· Ability to replicate and reproduce state-of-the-art models and results, and then innovate on top of these benchmarks

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

At EDDC, our goal is to discover and develop novel therapeutics by working collaboratively with public sector and industry partners. EDDC now has an opening and is seeking to recruit a highly motivated and experienced leader for the Computational Sciences group. The successful candidate will be leading the computational biology and information system groups and providing strategic guidance to the discovery leadership teams and the EDDC management team in leveraging the power of artificial intelligence (AI) and machine learning (ML) to accelerate the drug discovery and development processes, including novel target identification.

Responsibilities:

• Manage a team of software engineers, data engineers, computational biology, bioinformatic, IT professionals, and data scientists to support and contribute to all the discovery projects.
• Drive the implementation of cross-functional data integration & workflow automation aimed at fostering data-driven and AI-driven approaches to drug discovery and validation.
• Lead strategic planning and execution of artificial intelligence (AI)/machine learning (ML) initiatives, with a focus to support AI-augmented drug design and development, addressing 'undruggable’ targets, and expediting processes.
• Cultivate and sustain robust collaborative relationships with various functions within the Discovery unit and across relevant divisions within EDDC.
• Establish, lead and actively contribute to key partnerships with academic and industrial entities within Singapore or globally to enable the smooth access of patient-derived data, support the novel target discovery and evaluation efforts.
• Oversee all IT operation infrastructure, propose strategic solutions and recommend new systems and software.
• Manage all technology systems and applications to support EDDC's goals and objectives

Requirements:

• A Ph.D. in computer science, data sciences, bioinformatics, computational biology, or related fields.
• An MBA is an added advantage.
• A minimum of ten years of leadership experience in the pharma/biotech industry, with a strong background in the application of computational biology and AI/ML to research, translational and clinical programs.
• Domain knowledge in at least one therapeutic area such as oncology, immunology, and inflammation.
• Proven track record of developing and launching industry-grade computational biology software platforms, with demonstrated Key Performance Indicators (KPIs) and pipeline impact.
• Hands-on experience with the AWS cloud platform and relevant certifications is preferred.
• Excellent executive communication, collaboration and leadership skills are essential.
• Sound working knowledge of IT operation, systems, and developments.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.