The Community Resource, Engagement and Support Team (CREST) of REACH Community Services serves as a first mental health touchpoint in the community. We focus on raising public awareness of mental health conditions and dementia, promotes early recognition of at-risk individuals, provides emotional support to individuals and their caregivers and links individuals to relevant health and social care services when necessary. Actively, we conduct outreach events/activities to promote mental health awareness and identify and support those with mental health needs and their caregivers.

JOIN US if you are an advocate for mental health especially with a heart for the seniors.

The Social Work Associate provides the team with daily administrative and operational support for the purpose of CREST service development and implementation. You will attend to all enquiries (phone, walk in), organize the logistics &/or resources to ensure the smooth running of CREST services. You may also be involved in coordinating outreach events and activities

Key Responsibilities:

Provide administrative and logistical support to the team in running client-related support and/or other CREST activities.

Assist Social Workers in client monitoring, care coordination, and follow-up.

Manage data collation, report generation, and ensure compliance with data protection guidelines.

Support team in planning and executing outreach events, screenings, and client-related activities.

Collaborate with community partners and agencies

Conduct client screenings, provide basic emotional support to clients and mental health awareness.

Prepare resource materials for clients and caregivers.

Requirements

· Possess a diploma certification or relevant social service certification.

· Non-diploma holder with social service experience will be considered.

· Conversant in English and the ability to speak dialect or Malay will be a bonus.

· Good communication and interpersonal skills.

· Passionate to work in the mental health sector and community service sector.

· Outgoing and sociable personality with keen interest in working with people on one-to-one basis or centre-based group activity.

· A well-organized, meticulous team player who can also work independently.

· Only Singaporeans

Responsibilities:

• To assist the engineers to sustain and improve all equipment performance indices to meet operations goals.
• Perform shift duties to support the running of Production in the Module and ensure equipment readiness and worthiness for production
• Perform scheduled equipment preventive maintenance (PM), calibration and troubleshoot equipment-related problems on a timely basis to minimize equipment downtime
• Assist engineers in the installation and hook-up of new equipment
• Perform task with zero error
• Prepare consumables/preventive maintenance parts to ensure adequate provision
• Participate in continuous improvement programs to improve productivity and output quality of the Module, and constantly monitor and feedback to Engineers to improve performance of equipment to meet Module objectives
• Assist in implementing process improvement projects
• Ensure good housekeeping and safety practices in the Fab
• Safe custody of tools, equipment and other properties belonging to the Module
• Assist new associate engineers on their on-the-job-training (OJT) by acting as their buddy

Requirements:

• Diploma in Electrical / Electronics / Mechatronics / Mechanical/ Microelectronics / Chemical Process Technology or equivalent
• Basic engineering knowledge, which may include semiconductor devices theory, electronics, electrical/ pneumatic/ hydraulic control system, digital principle, wafer fabrication processes, pump and vacuum system and electrical wiring system
• Good Team Player
• Good Problem-Solving skills
• Able to perform 12-hour rotating shift

Job Description

Dr Chen Jinmiao is looking for a motivated Research Associate to join the Centre for Computational Biology (CCB) who will participate in AI-powered analysis of single-cell and spatial omics for precision medicine. Dr Chen’s research team develop AI algorithms for spatial and single-cell omics, integrates publicly available data into a centralised hub, and utilises this platform to build AI models for discovering biomarker and drug targets.

The selected candidate will perform a variety of research activities under the supervision of the Principal Investigator, including but not limited to the following:

• Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data.
• Independently carry out computational and bioinformatics analysis for large-scale spatial and single-cell omics as well as next generation sequencing studies.
• Application of qualitative and quantitative research techniques which include accurate in-depth assessment, interpretation, and evaluation of -omics data sets, conceptualize new ideas and develop plans for independent research in the field of single-cell and spatial omics and other -omics data modalities.
• Write and review research papers and present research outcomes.
• Perform routine duties related to the research study, such as data curation and making data backups, as required.
• Contribute to project management, provide guidance to junior researchers as well as undergraduate and graduate students, occasional educational/instructional activities.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in a related scientific area (e.g., AI, Deep Learning, Machine Learning, Statistics, Database, Bioinformatics, Computational Biology, Computer Science, Data Science, Data Analytics, Biology) with demonstrated hands on experience in bioinformatics and genetics/genomics data analyses.
• Familiar with and experienced in handling and manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq, etc.
• Proficient in R / Python and Linux / Bash.
• Prior experience and working knowledge of additional computational platforms and applications (e.g. Quantum computing, Perl, Java, etc.) preferred.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• NITEC/ Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

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 Visiting Associate Professor will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the successful completion of the trial on time. Timely input on projects related to design and implementation of interventions focused on learning and school readiness.

Main duties and responsibilities

Oversee the general management of the project;

1. Maintain the highest standard of professional conduct and record keeping in accordance with policies and procedures;
2. Assist with any other duties assigned by the Department.

Qualifications

The applicant should:

• Have a PhD in Education or related disciplines; preferably with experience in research;
• be able to work independently and in a team, have an investigative nature, attention to detail; and
• have knowledge of computer applications, e.g. SPSS, MS office, PowerPoint.

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

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

Duties & Responsibilities

• Manage assigned projects on NUS campuses (planning, design development, procurement, contracts administration, site supervision, liaison with various stakeholders, testing and commissioning, management of project account and defect liability issues.)
• Ensure that projects complete within schedule and approved budget and is properly handed back to the NUS user and over to the maintenance team at Asset Enhancement section, CAM.
• Work closely with the consultants and ensure that projects comply with NUS's policies and guidelines.
• Provide progress updates on assigned projects for routine/ ad-hoc management reporting.
• Assist in any other duties as assigned.

Qualifications

• A good bachelor’s degree or master’s Degree from a recognized University, preferably in area of Architecture/ Engineering/Construction Management/ Quantity Surveyor, and registrable with the Board of Architectures (BOA) Singapore; Professional Engineers Board (PEB) Singapore and/or Singapore Institute of Surveyor and Valuers respectively.
• Minimum of 8 years of relevant working experience in construction project coordination, design management, contract administration, project management and defects management.
• Experience in consultancy services will also be considered.
• Experience in handling new building development or Addition & Alteration (A&A) projects.
• Knowledge in local regulations; working knowledge of the authorities’ submission requirements.
• Resourceful with excellent communication skills
• A team player with a positive attitude and drive.

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 Assistant in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP aims to bring together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, 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 will work closely with the IHDP’s Biobank Team. The RA’s principal role will be to work in general practices of biosample transporting, processing, storage, data entry and other tasks as assigned by Reporting Officer,

Main Duties and Responsibilities

The Research Assistant/Research Associate will:

1. Process a wide range of biosamples that includes but not limited to blood and stool.
2. Provide and maintain accurate laboratory record and data
3. Adhere to all laboratory safety and procedures in accordance with the laboratory SOPs.
4. Maintain the highest standard of professional conduct and record keeping in accordance with SOPs
5. Perform laboratory housekeeping as assigned
6. Must be work at 3 sites as rostered
7. Must be able to work on weekends
8. Perform other duties as assigned by Reporting Officer

Qualifications

The applicant should:

1. have a bachelor’s degree in biomedical science, Life science or related discipline.
2. Must have laboratory experience and competent in pipetting
3. Able to work in a fast-paced environment
4. Able to work independently and in a collaborative manner with interdisciplinary team
5. Effective verbal and written communication skills
6. Strong desire to learn continuously

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

Only shortlisted candidates will be notified.

Interested parties may apply on NUS Career portal and please contact Ms H’ng, [email protected] should there be any queries pertaining to the position.

The Centre for Ageing Research and Education (CARE) is an academic research centre in Duke-NUS Medical School. Drawing on its multidisciplinary expertise and collaborations across medical, social, psychological, economic, and environmental perspectives, CARE’s research is situated in eight broad thematic areas: Population Health, Family Caregiving, Community-Based Health and Social Care Services, Productive Ageing, Falls, Ageing and the Environment, Health Communication, and Social and Psychological Aspects of Ageing.

CARE is a vibrant centre with individuals from diverse academic and personal backgrounds, and values the energy, passion, and thought leadership of promising scholars who desire to achieve health, social inclusion, and a high quality of life for older adults in Singapore. At Duke-NUS, CARE works closely with the Health Services and Systems Research (HSSR) Signature Research Programme, a centre of academic excellence for research and education on the organisation, funding and delivery of health services, and a focus is on public health and clinical service innovation in an increasingly complex and connected world.

We are seeking a full-time Research Assistant to join the team. The selected candidate will work across research projects, with the primary responsibilities including but not limited to the following:

• Perform data management including data cleaning, quality and consistency checks,and preparation of codebooks.
• Workwith other researchers on interpreting and analysing quantitative data.
• Contribute to preparation of reports, policy and research briefs, presentations, and research papers.
• Conduct follow-up assessments of study participants over the phone.
• Support other project management tasks.
• Assist with other initiatives at CARE where required.

Job Requirements

• Bachelor’s Degree in Sociology, Epidemiology, Gerontology, Public Health, Psychology,Social Work, or other related disciplines.
• Prior work experience in quantitative data analysis will be advantageous.
• Possess strong communication and interpersonal skills.
• Able to take initiatives to learn on the job and manage assigned tasks.
• Motivated and detail-oriented with the ability to work independently as well as with others in a multi-disciplinary setting.
• Candidates with relevant work experience may be considered for a Research Assistant(Senior) position.

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

This project aims to investigate the performance of cementitious materials and 3D printed concrete against ballistic and blast loadings. The researcher will be required to cast and fabricate the various cementitious materials and 3D printed concrete, prepare the logistics and perform the relevant ballistic and blast tests. He/she will also be required to set up the numerical models in commercial FE software (e.g. LS Dyna), validated against experimental data, to understand the mechanisms in resisting the high impact loadings for the various cementitious materials.

Job Requirements

The research fellow should have a PhD degree in a relevant field, with experience in the following areas:

• 3D concrete printing;
• Laboratory ballistic tests;
• Design of blast tests for concrete specimens;
• FE simulations of blast loading on concrete structures.

-Strong written and spoken communications and able to present results.
-Open to fixed-term contract.

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

An exciting opportunity has arisen for a highly motivated Senior Research Fellow/Research Fellow to join the Centre for Holistic Initiatives (CHILD) for Learning and Development, Yong Loo Lin School of Medicine, National University of Singapore. CHILD brings together experts in the field of translational research, child health and development, and implementation science to accelerate the use of evidence in policy and practice and give every child the best start in life.

The successful candidate will support the Centre by i) conducting research projects aligned to the Centre’s strategy and key priorities, ii) preparing reports, publications and materials for funding bids, iii) providing supervision and mentorship to junior researchers, particularly in the area of mixed methods research, and iv) facilitating workshops and engagement activities.

Job Responsibilities

The successful candidate will:

• Work closely with the team leads, cross-disciplinary research teams and collaborators.
• Design, plan, undertake and deliver research and evaluation projects using both quantitative and qualitative designs.
• Provide expert methodological and statistical advice to Centre staff across Centre projects.
• Provide advanced statistical analyses and data visualizations using R, Python, or STATA for presentation of important findings in policy briefings and peer-reviewed publications
• Lead writing for reports, peer-reviewed publications, and grant proposals
• Contribute and lead, where appropriate, research dissemination activities at internal and external meetings and conferences.
• Provide supervision and mentorship of research students, assistants, and interns
• Work closely with stakeholders from across the early childhood sector.
• Carry out administrative duties as needed
• Any other duties as assigned by the supervisor

Qualifications

A PhD in Psychology/Behavioral Science/Developmental Psychology/Education/Public Health or a related discipline.

Experience: Candidates with experience in the following areas are encouraged to apply:

• Mixed methods applied research
• Multivariate statistical analyses and meta-analysis techniques using R, Python, or STATA
• Behavioural or Social Sciences applied to child health/development
• Implementation Science
• Programme Evaluation
• Education/Health Services or Applied Research

Skills

The candidate should also possess:

• Experience undertaking or leading independent research studies, as appropriate for career stage
• A strong grounding in mixed methods and applied educational, behavioural or health research – broadly defined
• Outstanding data analysis and visualization background
• Ability to search, summarize, and synthesize previous research in areas of interest to CHILD
• Strong project management and coordination skills, with attention to detail and critical thinking abilities
• Track record of publishing in peer-reviewed journals and presentations in international or national scientific conferences, commensurate with career stage
• Excellent command of spoken and written English with excellent communication skills to present findings to English-speaking stakeholders
• A team player with an ability to work independently
• Highly motivated, proactive, and goal-oriented
• Keen interest in the area of early child development and passion for research translation and communication

Application

Please submit your application, supported by:

• a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations)
• a cover letter introducing yourself, career goals and earliest start date as well as your suitability and interest in the position
• a writing sample that reflects your analytic skills and communication abilities.
• full contacts of three (3) referees to this job portal

The appointment title and salary grade commensurate with the candidate qualifications and experience. Interested applicants are invited to submit via the NUS career portal. Applicants can email [email protected] with any questions. Only shortlisted candidates will be contacted.

About CHILD

What Being Successful in the Role Looks Like The successful candidate will work closely, collaboratively, and competently as part of an interdisciplinary team within CHILD. They will have excellent writing, presentation, and project management skills. They can perform data analysis/data visualization, willingly learn from and share knowledge with others. He/she fits into, supports, and builds CHILD’s open and positive work culture.

About CHILD: The Centre for Holistic Initiatives for Learning and Development or CHILD was established under the umbrella of the NUS Yong Loo Lin School of Medicine (NUS Medicine) with the Lien Foundation. In collaboration with partners - the Centre for Evidence and Implementation (CEI) and A*STAR’s Institute for Human Development and Potential (A*STAR IHDP), CHILD brings together experts in the field of translational research, child development, and implementation science to help give children the best start to life.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

A Research Assistant position is available NUS Yong Loo Lin School of Medicine, National University of Singapore. The job entails work in a laboratory, clinical and involves administrative duties.

Major Duties and Responsibilities:

1. Contribute to DSRB/IRB application process, support ethics and regulatory related administrative work including DSRB/IRB and HSA applications
2. Coordinate training requirements and documentation
3. Ensure study file set up, documentation and maintenance, including investigator files and logs
4. Conduct subject pre-screening, assist with informed consent, adverse event reporting, and follow-up activities with regulatory bodies
5. Coordinate subject visits and manage study execution, including collection of study questionnaires, measurement of physiology parameters, and collection of non-invasive images
6. Maintain study database.
7. Monitor studies ensuring compliance with institutional guidelines, HBRA, and GCP.
8. Assist with study closure including archiving of study records (medical records, study documents, investigator files, subject files etc.), post-study audits/ inspections and monitoring.
9. Participate and present updates in study related meetings.
10. Take minutes of meetings for vetting.
11. Generate study progress reports as required.

Roles and Responsibilities

• Assist with participant recruitment for research studies, including consent taking, filing and ensuring studies are conducted in compliance with necessary regulatory guidelines
• Purchasing products and services where necessary, including preparing recommendation reports, track orders and ensure timely delivery, and keeping records of purchases.
• Assist overall day-to-day administrative activities for Research Programme
• Assist Admin Lead with CVD TRP website maintenance and update.
• Assist to prepare and edit reports, presentations and other documents.
• Assist Admin Lead with secretariat functions to arrange and coordinate Programme’s events or meetings, including creating and distribution of meeting minutes, preparing facilities for scheduled meetings and arranging refreshments, if required.

Qualifications

• Bachelor in a related discipline in the Biomedical/Life Sciences with a minimum 1 year of experience
• GCP-trained and familiar with the regulatory landscape in Singapore
• Some experience working in/with a clinical research or healthcare industry
• Sound written and verbal communications skills
• Possess maturity and good interpersonal skills
• Independent and good team player
• Self-driven, meticulous, and organized and strong organisational skills
• Relevant experience with managing large projects, lead facilitation of group meetings and managing budgets will be an advantage
• Good proficiency in MS Office applications such as PowerPoint, Excel
• Have a strong interest to interact with a wide variety of people

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

Position Overview:

We are seeking a highly motivated Embedded System Engineer to join our team as a Research Engineer. The successful candidate will be responsible for selecting, programming, testing micro-controllers, and building corresponding circuitry and PCB for our cutting-edge research projects. This role offers an exciting opportunity to contribute to groundbreaking research in flexible electronics.

Key Responsibilities:

• Program micro-controller for realizing target functions.
• Design circuitry and PCB for corresponding micro-controller.
• Help with requirement analyse and micro-controller chip selection.
• Document design processes, results, and findings for academic publication.
• Stay updated on emerging trends and technologies in flexible electronics and related fields.

Qualifications

Qualifications:

• Master C/C++, have proficient embedded development and MCU development capabilities, and good programming habits.
• Familiar with communication ports, including UART, SPI, IIC and GPIO.
• Able to read hardware schematics, capable for driver writing and optimization, and familiar with Renesas, Nordic and STM32’s commonly used chips;
• Familiar with BLE working principle and commonly used BLE chips.
• Familiar with micro-controller developing tools (e.g. Keil, IAR)
• Experience with PCB design and proficiency in PCB design tools (e.g. Altium Designer)
• Bachelor's or Master's degree in Electrical and Computer Engineering, Electronics Engineering, Mechatronic Engineering, automation, or related field.
• Solid digital and analogue circuit knowledge foundation.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities.

Preferred Qualifications:

• Expertise in MATLAB or Python for upper computer software development.
• Familiarity with biomedical signal processing or wearable electronics.
• Prior research experience in an academic or industrial setting.
• Additional expertise in wireless electronics design

Benefits:

• Competitive salary based on qualifications and experience.
• Opportunities for professional development and growth.
• Collaborative and innovative work environment.
• Access to state-of-the-art research facilities and resources.
• Potential for authorship on research publications, patents and presentations.

JOB DESCRIPTION

• Responsibilities: mouse colony management, genotyping, mouse surgery, immunostaining, tissue sectioning and staining, and other technical support requested by lab members
• Provide technical support for research

JOB REQUIREMENT

• Bachelor in Biological Science and Life Science disciplines or equivalent
• Experience with animal work will be valued
• Excellent organizational and interpersonal skills
• Highly motivated, passion for science, committed to laboratory work and able to work flexible hours
• Ability to multitask, work independently and also as part of a team
  Excellent communication (verbal and written) and presentation skills

Role & Responsibilities:

Reporting to the Branch Manager, the Management Associate will embark on an exciting journey to be part of the Operations team. This role will provide learning opportunities for an individual in management of a food atrium, from the exterior facade to the internal hygiene and inventory control. Your primary role includes (but not limited to):

• Assists the Branch Manager to ensure smooth operations of the atrium through daily operational duties
• Uphold and enforce Company’s Rules & Regulations, as well as to ensure compliance to government regulations
• Provide assistance on requests/queries from tenants, Customers & Cleaners
• Conduct routine outlet Hygiene Checks and Inventory Checks
• Conduct routine cash audit check to ensure compliance to Cash Control Policy
• Assist in virtual food delivery orders from various tenants for delivery collection
• Maintain good standards of outlet’s overall aesthetics (Food/Stall Display) and grooming standards of staff
• Point-of-contact for external contractors or suppliers
• Propose and implement innovative work-related processes
• Any other duties as assigned by your Superior

Requirements:

• Degree Certificate in F&B or any related discipline
• Entry level candidates are welcome to apply
• Able to work 6 days shift work on rotating shifts, weekends, and Public Holiday
• Well-groomed with an outgoing and friendly attitude
• Able to work well under pressure in a fast-paced environment and be a great team player who thrives in working with a team and with customers
• Proficient in Microsoft Office
• Handle cash count or audit
• Comfortable with cross-deployment of outlets

Job Description

The SingHealth Duke-NUS Academic Medical Centre (AMC) draws on the collective strengths of SingHealth and Duke-NUS Medical School (Duke-NUS) to drive the transformation of healthcare and provide affordable, accessible and quality care to patients.

The Centre for Clinician-Scientist+ Development (CCS+D) supports the research pillar of academic medicine in SingHealth Duke-NUS AMC by nurturing aspiring and talented clinicians with passion and interest in research, including clinician scientists, clinician investigators and clinician innovators. The Centre provides support at the developmental stage of their research career, through personalised consultations and structured training geared towards improving research and leadership skills.

CCS+D is inviting applications from experienced faculty experts and medical researchers who can nurture SingHealth clinicians with passion and interests in research and innovation. The responsibilities will include but not limited to the following: -

• Provide grantsmanship advisory & consultations with clinicians to improve their chances of success in obtaining research grant funding. General discussions with clinicians would involve their research themes, research hypothesis formulation, types of grant funding targeted and strategies to achieve their research/innovation career goals.
• Detailed grantsmanship guidance for clinicians’ grant applications which include the following aspects:

1. Evaluating the importance of the research questions
2. Evaluating the feasibility of the study designs and research plans
3. Improving the storytelling and organization of writing to ensure well-flowing content
4. Training clinician researchers in presentation skills
5. Providing advice regarding research methodologies and statistical analysis plans
6. Supervising rebuttals to grant reviewers’ comments
7. Supervising interview preparation including mock interviews

• Provide individualised research career advisory to aspiring clinician-researchers in collaboration with the Centre’s Director and principal lead faculty members.
• Serve as a speaker at research workshops or seminars organised by the Centre
• Be part of the internal grant review committee to assess the suitability of pilot research studies for funding.
• Teaching research methodologies to clinicians and medical students. Although this is not a primary role of this position, teaching tasks may be required from time to time.

Job Requirements

• Recognised medical or PhD Degree.
• Has excellent track record of research accomplishments - demonstrated by having a high number of publications, multiple national grants achieved and experience serving on national grant review panels.
• Dedicated in nurturing aspiring clinicians for promoting academic medicine and research.
• Self-motivated and proactive in guiding and supervising clinicians to frame competitive translational and clinical research, to forge the pathways from bench discoveries to bedside applications. (Note: Developing independent research work is not a requirement for this role)
• Able to work with clinicians across different disciplines on research proposal writing for research topics based on general medical knowledge but not specific expertise.
• Possess strong logical and analytical thinking abilities as well as verbal communications and interpersonal skills with excellent scientific writing and presentation style.
• Strong attention to details and able to write succinctly and logically.
• Able to adapt and thrive in a constantly evolving work environment.

** This is a full-time position based at Duke-NUS Medical School in Singapore.

We regret that only shortlisted candidates will be notified.

Role & Responsibilities:

Reporting to the Branch Manager, the Management Associate will embark on an exciting journey to be part of the Operations team. This role will provide learning opportunities for an individual in management of a food atrium, from the exterior facade to the internal hygiene and inventory control. Your primary role includes (but not limited to):

• Assists the Branch Manager to ensure smooth operations of the atrium through daily operational duties
• Uphold and enforce Company’s Rules & Regulations, as well as to ensure compliance to government regulations
• Provide assistance on requests/queries from tenants, Customers & Cleaners
• Conduct routine outlet Hygiene Checks and Inventory Checks
• Conduct routine cash audit check to ensure compliance to Cash Control Policy
• Assist in virtual food delivery orders from various tenants for delivery collection
• Maintain good standards of outlet’s overall aesthetics (Food/Stall Display) and grooming standards of staff
• Point-of-contact for external contractors or suppliers
• Propose and implement innovative work-related processes
• Any other duties as assigned by your Superior

Requirements:

• Degree Certificate in F&B or any related discipline
• Entry level candidates are welcome to apply
• Able to work 6 days shift work on rotating shifts, weekends, and Public Holiday
• Well-groomed with an outgoing and friendly attitude
• Able to work well under pressure in a fast-paced environment and be a great team player who thrives in working with a team and with customers
• Proficient in Microsoft Office
• Handle cash count or audit
• Comfortable with cross-deployment of outlets

Job Duties

• Ensuring a high level of quality in the services and deliverables provided by the company
• Involved in the quality assurance and service level agreement of maintenance projects
• Actively assisting maintenance customers to monitor issues, changes, and handle queries they have
• Work with the technical team to ensure that all fixes for maintenance projects are delivered on time
• Manage and ensure timely delivery of projects
• Liaising with clients to discuss and identify their project requirements
• Evaluate and resolve any discrepancies and problems that arises during project delivery
• Actively engaging customers to find out their level of satisfaction with the services provided
• Initiate processes to improve the service level provided by the company
• Analyze, remove, and proactively prevent roadblocks across team to meet quality standards, project milestones, and business objectives
• Ensure project output consistently meets requirements and standards
• Outstanding candidates will be groomed and trained for management role, to lead a team in the future

Qualifications and Skills

• Minimum Degree in Information Technology, Computer Science or equivalent.
• Preferably at least 1 year of experience in IT Software or related field.
• Certifications in Project Management are advantageous.
• Working knowledge in MS Office, Project Management and Visio.
• Able to handle multiple tasks/projects simultaneously.
• Customer-oriented person with excellent communication skills, both written and verbal.

Note: Proceeding to apply on this job post means you have read, understand and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS in the link below.

https://www.wphdigital.com/notices

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

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

AI Singapore (AISG) seeking a highly organized and detail-oriented individual to join our team as a Research Fellow. The Research Fellow will collaborate with researchers, faculty, and external stakeholders to facilitate the research, evaluation and deployment processes involved in research projects.

Duties & Responsibilities

In this role, you will:

• Participate in the full research projects to deployment pipeline and help conceptualize, develop research or evaluation experiments, and then implement the systems to execute these experiments.
• Conduct data annotation, collection, and analysis for research projects.
• Conduct landscape and literature reviews to understand the potential solutions and the state-of-the-art models.
• Manage research projects with minimal supervision, develop new research methodologies and contribute to innovative approaches, design and execute experiments or studies to advance knowledge in a specific field.
• Work closely with Principal Investigators and researchers for benchmarking various baseline models.
• Contribute to disseminate research outcomes through presentations, demonstrations and top conference papers.

Qualifications

• A PhD degree in Computer Science/Computer Engineering, or related disciplines
• Possess strong background in Computer Vision (CV) and Artificial Intelligence (AI); Research background in Large Multimodal Models (LMMs) / LLM security is a plus
• Excellent knowledge in deep learning frameworks, e.g., PyTorch, Tensorflow
• Strong first-author publication records in top-tier AI conferences; Prior publications in major computer vision (CVPR/ICCV/ECCV) or machine learning (NeurIPS, ICML/ICLR) conferences is a plus
• Good communications skills in both written and verbal English
• An adventurous spirit and willingness to learn and experiment with new ideas and new domains
• Demonstrated ability to work independently as well as collaboratively in a team 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 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 thermal management of flexible electronics. You will play a key role in designing and fabricating flexible electronic devices, with a specific focus on solving challenges related to overheating and heat dissipation.

Responsibilities:

• Design and fabricate integrated thermal management system for flexible electronics devices, including RF devices.
• Conduct thermal simulations to identify potential thermal issues and optimize the heat dissipation capabilities of the devices.
• Develop and implement innovative thermal management materials, structures, and approaches to address overheating challenges in flexible electronics.
• Explore and evaluate new materials for efficient heat transfer, storage, and dissipation in flexible electronic devices.
• Collaborate with interdisciplinary team members to integrate thermal management solutions into the overall device design and fabrication process.
• Perform experimental characterization of thermal properties and performance of flexible electronic devices using appropriate measurement techniques and equipment, including IR thermal imaging and thermal reflectance system.

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.

To apply, please submit your application materials, including a cover letter and curriculum vitae.

Review of applications will begin immediately and continue until the position is filled.

Qualifications

Candidate should meet at least 4 criteria from the following list:

• Bachelor’s or Master’s Degree in Electrical Engineering, Chemistry, Materials Science, or a related field with a focus on flexible electronics and thermal management.
• Strong background in thermal management of electronic devices.
• Proficiency in thermal simulation software for analyzing and optimizing thermal performance.
• Knowledge of thermal management techniques and strategies for flexible electronics, including heat dissipation mechanisms and materials.
• Experience in developing and characterizing novel materials for heat transfer, storage, and dissipation in electronic devices.
• Familiarity with experimental techniques for thermal characterization, such as thermal imaging and thermal reflectance.
• Strong problem-solving skills and ability to think critically about thermal management challenges in flexible electronics.
• Excellent written and verbal communication skills, with the ability to present research findings effectively.
• Track record of research publications in reputable scientific journals.

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.

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 (NUS) invites applications for the role of Research Assistant/Research Associate with the Heat Resilience & Performance Centre (HRPC), Yong Loo Lin School of Medicine. The HRPC is a first-of-its-kind research centre, established at the NUS, to spearhead and conduct research and development to better enable the future challenges arising from rising ambient heat. Appointments will be made on a two-year contract basis, with the possibility of extension.

The Research Assistant/Associate who will play a key role in assisting in the development, execution and analysis of research aimed at addressing the challenges of training and operating in rising ambient temperatures. The successful candidate will be part of a multi-disciplinary group comprising exercise and thermal physiologists, data scientists, biomedical engineers and researchers. This role will provide you with a unique opportunity to not only develop your expertise in research planning and execution, but also to be a part of the team looking to generate fundamental and forward-looking solutions to working in the heat. There are also opportunities to pursue a part-time PhD with HRPC.

Main Duties and Responsibilities

The main areas of responsibilities of the role will include but not limited to the following:

• Working with research PIs and teams to develop new research ideas
• Performing literature searches, assimilating, and summarizing key information, as well as identifying knowledge gaps
• Designing and conducting relevant studies and surveys (qualitative and quantitative, including lab and outfield studies)
• Establishing and managing large databases
• Interpreting and analysis of data
• Generating reports and present data to relevant stakeholders
• Contributing to conference presentations and write papers for submission to peer reviewed journals
• Collaborating across teams, contributing to multiple research projects at once

Qualifications

A minimum qualification of a Bachelor’s degree in Exercise Science, Physiology, or equivalent. Candidates with strong data science and analytics background and keen to delve into heat health research are strongly encouraged to apply as well). Experience in statistics, data analysis and visualisation software (e.g. SPSS, Power BI), and computer applications (e.g. Microsoft Office, data management and online meeting tools) would be required as well.

In addition, the role will require the following job relevant experience or attributes:

• Keen interest in heat health and human performance
• Proficient in qualitative research
• Proficient in data analysis tools in quantitative research
• Two or more years of research work experience would be an advantage
• Proven knowledge of data collection methods
• Good written and verbal communication skills
• Good presentation skills and ability to write research reports for publication in reputable journals

Additional Skills

• Resourceful and self-driven
• Adaptable and able to multitask well with clear follow-through
• High levels of attention to detail and quality
• Willingness to travel off-site and outside routine hours for data collection and undertake further training in relevant data collection procedures
• Demonstrated ability to work independently and thrive in a fast-paced environment
• Commitment to the ongoing development of a positive organizational culture
• Willingness to contribute to a learning environment

Application

The role is based in Singapore.

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

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 Research Associate (Computational and Laboratory Biology) 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 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 both mathematical/machine learning methods and biological laboratory techniques. He or she will also be responsible for data analysis and for developing 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 statistical 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. Industry experience in biotech or pharma would be an advantage.

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

Qualifications

The applicant should:

1. Have a Master’s degree or equivalent in Computational Biology, Bioinformatics, Bioengineering and/or Biology;
2. Hands-on experience and skills in standard biological laboratory techniques;
3. Strong programming skills in relevant languages such as R and/or Python;
4. Experience with biological data analysis and interpretation;
5. Knowledge of biological systems and processes;
6. Excellent communication and collaboration skills;
7. 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 to this job portal.

We regret that only shortlisted candidates will be notified.

JOB DESCRIPTION

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 5 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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

We are looking for highly-motivated and skilled programmers to join us in Biomed DAR (BII A*Star), to work on a new initiative in the development and deployment of software tools for data management support systems/biomedical data repository. Our work supports BMRC-wide research programmes and industry collaborations.

Successful candidates will work with a team of data scientists, data engineers and UI designers to program a web-application stack for automated data integrity checks, data curation, data annotation, and data imputation for structured data generated by research programmes. Successful candidates will have the opportunity to tap into a large pool of biomedical data from different disciplines and to interact with the companies/researchers to understand their real data needs.

JOB REQUIREMENT

· Minimum bachelor’s degree or diploma in the field of computer science, computer engineering, or other web programming intensive course. With expertise in at least one of the following areas: creating, maintaining, implementing APIs, front-end development, microservices architecture

· Possess minimum 2 - 3 years or more of relevant work experience.

· Ability to work independently to translate design templates and ideas into programs with efficient coding.

· Basic knowledge in data analytics and proficient in Python, Node.js, React, SQL

· Prior industry experience with engineering, financial services, healthcare is a plus.

· Able to deliver under tight schedule.

· Good team player with understanding of best practices and cybersecurity.

· Good interpersonal and communication skills.

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.