The Biological Resource Centre (BRC) is an AAALAC International accredited and bizSAFE Level 3 certified laboratory animal facility that provides high quality animal housing and animal support services. BRC is seeking an Associate (Administration) to join us to support the administrative duties.

Job Description

• Working closely with Finance and assist in billing of customers.
• Follow up with customers on overdue invoices.
• Communicate with customers/vendors via phone, email or personally and investigate and resolve customer queries.
• Performance of Good Receipt.
• Maintain and update booking system details when needed.
• Collation of information for Management.
• Assist with Management / Financial reporting.
• Preparation of presentation slides.
• Carry out other duties and tasks that may be assigned from time to time.

Job Requirements:

• Diploma in Business or Accountancy, or equivalent.
• Proficient in Microsoft Office (e.g. Outlook, Word, Excel, PowerPoint).
• Excellent interpersonal and communication skills, meticulous.
• Ability to break down tasks into deliverables and set realistic timelines for completion.
• Ability to work independently and collaboratively in teams.
• Excellent spoken & written communication skills.
• Knowledge of SAP system will be advantageous.

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.

The Singapore Immunology Network (SIgN), A*STAR, is seeking to appoint an outstanding Senior Principal Scientist to carry out internationally competitive research in Autoimmunity and Inflammatory Diseases.

The research should investigate the pathophysiology of biological pathways and novel pathogenic mechanisms for debilitating disorders, with the aim to translate insights into innovative therapeutic approaches that lead to significant clinical benefits.

The successful candidate is expected to build and maintain a strong research programme that complements the existing programmes at SIgN, and to establish collaborations with the biomedical community and industry. The candidate will also mentor Junior PIs, postdocs and PhD students.

The Senior Principal Scientist position is equivalent to that of an Associate/Full Professor in the university system. The successful candidate can look forward to a competitive salary package and resources as well as a dynamic work environment. Although part of the research programme will be supported by core funding, the candidate is expected to expand his/her research activities by securing additional funds through the various grant schemes available in Singapore and abroad.

Job Responsibilities:

• To lead a research team to conduct experimental research in the areas of Autoimmunity and Inflammatory Diseases.
• To initiate and execute novel research projects, to translate research outputs into clinical or industrial collaborations
• To write up high impact research publications
• To mentor and provide support to junior researchers

Job Requirements:

• PhD in Immunology, Microbiology, Biomedical Sciences, or other relevant disciplines
• More than 10 years’ experience in independent research and leading a research group
• Strong lab-based research background in Immunology and Microbiology
• An excellent track record of research publications
• Excellent written and spoken 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

· Collaborate with cross-functional teams such as Mechanical Engineers, Test Engineers, Lab Technicians, and Project Engineers to execute ocean basin model testing projects, such as floating offshore wind projects.

· Analyse and comprehend project requirements related to hydrodynamic testing, model instrumentation, and data acquisition.

· Select and implement suitable data acquisition systems, control system design, and develop software architecture specific to ocean model testing needs.

· Develop and maintain application software for new ocean basin test setups and custom test requirements.

· Upgrade existing software systems to accommodate new test protocols or methodologies for ocean model testing.

· Choose appropriate sensors for wave, current, and motion measurements, ensuring seamless integration with control systems and software.

· Create and update documentation, including software designs, changes, user manuals, and standard operating procedures (SOPs) for ocean model tests.

· Upgrade LabVIEW-based software applications to newer versions, ensuring they meet the latest testing requirements.

· Troubleshoot and resolve issues in control systems, data acquisition, and software during model testing.

· Test and validate application software before deployment to the ocean basin test setup.

· Prepare comprehensive user manuals, SOPs, and provide training for test engineers to ensure smooth operation of the test environment.

Job Requirements

· Minimum qualification: Bachelor of Engineering (BEng) / Bachelor of Technology (BTech) in Electronics, Electrical, Instrumentation, or Computer Science with at least 2 years of relevant experience, particularly in LabVIEW.

· Proficiency in different versions of LabVIEW, including the latest versions with relevant toolkits.

· Experience in designing and developing NI LabVIEW-based data acquisition and control systems for ocean basin model testing or similar environments.

· Proven ability to develop modular and scalable applications using LabVIEW?s standard architecture.

· Experience in developing LabVIEW applications for Windows and Real-Time (RT) Linux environments.

· Proficiency in integrating NI hardware systems such as PXI, cRIO, and CompactDAQ into the testing framework.

· Hands-on experience with communication protocols like TCP/IP, UDP, Serial, USB, CAN, and EtherCAT for testing and control purposes.

· Experience with integrating third-party programmable instruments (e.g., multimeters, power supplies, oscilloscopes) and controllers into ocean testing setups.

· Experience in developing NI software drivers for third-party hardware and integrating third-party software with LabVIEW.

· Knowledge in selecting, wiring, and troubleshooting sensors used in hydrodynamic and ocean model testing (e.g., pressure sensors, accelerometers, flow meters).

· Experience in reading control panel schematics, designing control systems, and selecting appropriate control panel hardware for model testing.

· Strong team player with the ability to work independently and collaborate in cross-functional project teams.

· Experience interfacing induction motors with VFDs and control systems, with knowledge of VFD configuration for use in testing environments.

· Strong troubleshooting skills at the signal and system level for data acquisition and automated test systems.

· Excellent documentation skills for capturing test requirements, preparing software designs, and writing user manuals.

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.

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

We are looking for a motivated bioinformatics specialist who is keen on studying how microbes contribute to common skin diseases such as eczema and acne. Our lab is focused on leveraging new technologies to better study microbial populations and their impact on human health. We have extensive experience in metagenomic analysis in clinically or commercially important contexts such as uncovering distinct microbial communities in households affected by paediatric eczema (PMID: 35318044) and revealing the microbial basis of body odour in teenagers (PMID: 30497517). We are now focusing on applying various -omics capabilities to larger sized disease cohorts to understand how microbial pathways and biomarkers change with disease progression and treatment. The successful candidate will have the opportunity to work in a highly interdisciplinary environment, with unique access to next-generation sequencing technologies and a wide range of samples. Project findings will have direct applications to ongoing and new microbiome research projects in the lab, particularly in skin diseases.

The Nagarajan Lab is based in the Genome Institute of Singapore (GIS) which is the national flagship program for genomic sciences in Singapore with a mission to use genomics to improve public health and national prosperity. Singapore is a highly cosmopolitan city-state at the cross-roads of Asia with one of the highest standards of living in the world. The GIS provides an internationally competitive remuneration package and relocation assistance.

Requirements:

• Bachelors degree in Computational Biology, Computer Science, Data Science, or a related field.
• Strong analytical and programming skills (Python, R, UNIX environment etc).
• Familiarity with Bioinformatics tools for RNA seq analysis and pipeline building will be useful.
• Interest in exploring biological questions and some course work in statistics is preferable.

How To Apply: Please e-mail your curriculum vitae and contact details of referees to Niranjan Nagarajan ([email protected]) and Minghao Chia ([email protected])

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.

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 Centre on Asia and Globalisation (CAG) at the Lee Kuan Yew School of Public Policy, National University of Singapore (NUS) invites applications for the position of Visiting Senior Research Fellow. This visiting appointment seeks candidates with an established academic record and an international reputation in the fields of economic, social, and political issues on China-India relations.

The candidate will contribute to extending and enhancing CAG’s research on China-India relations, including re-establishing workshops and dialogues on China-India relations. The successful candidate will also be working with the Asia Research Institute of NUS to prepare an Encyclopedia of China-India relations since antiquity.

The candidate will conduct independent, in-depth, and publishable research on issues in his/her expertise and contribute to the Centre’s agenda on international relations in general, and China-India relations in particular.

The candidate is expected to initiate and organize research projects, workshops, conferences, and other research events. S/he should be able to reach out to publishers and actively engage with academia, policy practitioners, and media and business leaders, as well as apply for external grants.

In addition, s/he is expected to play a role in coordinating with other researchers and contribute to the broader intellectual life of the centre.

Qualifications

• A distinguished academic record with a PhD in a relevant field.
• An international reputation for excellence in research on economic, social, and political issues on China-India relations.
• A strong publication record in books and reputable academic journals.
• Demonstrated ability to engage with diverse audiences and contribute to academic and public discourse.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous.
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• Ability to work independently as well as collaboratively in a team environment.

A highly motivated postdoctoral research fellow is sought for Dr. Sampath’s laboratory in A*STAR Skin Research Labs, Singapore. This group focuses on exploring and developing RNA therapeutics for various epithelial disorders, including proinflammatory skin conditions and cancer. Delineating the underlying molecular mechanisms and visualizing these interactions, the objective is to identify specific targets and develop targeted therapeutics.

Key Responsibilities:

The successful candidate will work on a couple of these projects, which involves 1. Design and development of an innovative strategy (RNAi-based) for therapeutic intervention of the target gene. 2. Evaluate the efficacy of the pharmaceutical composition by in-vitro assays, ex vivo and in vivo model systems.

Job Requirements:

• PhD in Cell Biology or Molecular Biology
• At least one first-author publication in an international peer-reviewed journal
• Experience in RNA work advantageous
• Highly motivated.
• Willingness and ability to develop new skills.
• Excellent oral, written communication and organizational skills.
• 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 Academy for Healthy Longevity at the Yong Loo Lin School of Medicine, NUS, seeks a Research Assistant/Associate to support an innovative project developing prognostic digital biomarkers of aging using physical activity data from wearable devices. This position will contribute to advancing personalized healthcare through data-driven approaches to risk segment populations to enable health promotion and longevity.

Position Overview

The successful candidate will support the analysis of physical activity data and health outcomes to develop digital biomarkers of aging and risk stratification models. The multidisciplinary team aims to process large-scale physical activity datasets and contribute to the development of an interactive healthcare dashboard. This is a 12-month position with the possibility of extension based on grant funding.

Main Duties and Responsibilities

1. Data Analytics & ProcessingDevelop a plan to process and analyze physical activity data from wearable devices
   Support the development of risk stratification models
   Assist in integrating health outcome records with physical activity data
   Identify a pathway to implement statistical and machine learning techniques for biomarker identification
   Develop plans for validating risk stratification models
2. Planning Technical DevelopmentSupport development plans for the creation of interactive dashboards for data visualization
   Identify data quality control and security protocols
   
3. Research SupportHelp prepare materials for future grant applications
   Assist in preparing research documentation and reports
   Support stakeholder coordination and technical strategy development
   Contribute to research team meetings and discussions
   Any other tasks deemed necessary by the research team
   

Qualifications

1. Education & ExperienceResearch Assistant: Bachelor's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   Research Associate: Master's degree in Data Science, Bioinformatics, Computer Science, or related field and 1-2 years experience in health data analysis or related field
   
2. Technical SkillsProgramming proficiency in relevant software systems such as Python or R
   Experience with statistical analysis and machine learning
   Experience in data preprocessing and data harmonization
   Familiarity with healthcare data standards
   
3. Professional SkillsStrong analytical and problem-solving abilities
   Excellent attention to detail
   Good project management skills
   Ability to work in a collaborative research environment
   

Benefits

1. Competitive salary commensurate with qualifications
2. Professional development opportunities
3. Access to research computing facilities
4. Health insurance coverage

Job Description

· Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Structural assessment of the test models as well as other support to be used in the experimental setup.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models’ behaviour and response by use of appropriate sensors like load cells or custom strain gauges.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

· Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Structural response and health monitoring of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

· Any other duties as assigned by supervisor.

Job Requirements

· Bachelor’s/ Master’s Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

· Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

- Offshore engineering, marine engineering, marine structures, hydrodynamics, naval architecture.

· Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

- CAD software such as SolidWorks, Rhino, AutoCAD

- Engineering tools such as SESAM and ABAQUS

- Programming codes such as Python, MATLAB, or equivalent.

· Model experiments in wave flumes, wave tank or ocean basin.

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

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

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

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 job provides you with the opportunity to develop skills in collecting primary data as well as handling large datasets, data analysis, and causal inference. It is a good opportunity to learn and build your skills in fieldwork and data analysis. If you are interested in a future career in data analytics or graduate studies in economics, this research assistantship will also give you the relevant training and exposure.

This is a full-time position from June 2025 on a one-year renewable contract.

In accordance with the terms of the project funding, applicants with Singapore citizenship and permanent residence will be preferred.

Job Responsibilities

The Research Assistant (RA) will assist Professor Ivan Png in applied microeconomic research. Duties include compiling data from primary and secondary sources, analysis and programming, algebraic analysis, reviewing research, and writing. Current projects include the productivity of foreign workers and taxi drivers (https://bizfaculty.nus.edu.sg/productivity/)

Qualifications and Skills

• Honours degree in economics, business, or related discipline.
• Skilled in programming and statistics.
• Willing to work independently, in the field and office.

More Information

Please apply with subject "NUS full-time RA [Your name]" and with your transcript and resume (please label your attachments as [YourName]_ [Transcript/Resume]).

Job Description

-Contribute to high-quality research and development work in TCOMS laboratory through physical experiments including:

o design of scaled physical test models, such as maritime vessels, offshore rigs, marine renewable platforms, and aquaculture systems for testing in TCOMS Ocean Basin.

o generation of detailed design, production, assembly, and as-built drawings of test models.

o Work with a team of engineers and technicians on model fabrication and modification, calibration, instrumentation, and experimental setup.

o enhance the measurement of models? behaviour and response by use of appropriate sensors.

o document design processes, methodologies, and results.

o contribute to process enhancements for improved efficiency of research work.

-Perform research in the following areas:

o Offshore hydrodynamics

o Coastal Protection

o Loads, motions and response analysis of Marine & Offshore platforms and floating structures

o Fluid-structure interactions

· Collaborate with internal teams, affiliated research institutes and other relevant stakeholders in proposal preparation and submission.

-Any other duties as assigned by supervisor.

Job Requirements

-Bachelor's/Master's Degree in Civil Engineering, Mechanical Engineering, Marine Engineering, Offshore Engineering, or other related disciplines.

-Preferably 3 years of relevant research/industry experience with competent knowledge in some of the following areas:

o Offshore engineering, marine engineering, hydrodynamics, naval architecture.

-Prior knowledge in the following numerical methods/software/programming languages will be an advantage:

o CAD software such as SolidWorks, Rhino, AutoCAD

o Engineering tools such as WAMIT, SESAM and OrcaFlex

o Programming codes such as Python, MATLAB, or equivalent.

o StarCCM+, OpenFOAM

-Model experiments in wave flumes, wave tank or ocean basin.

-Good interpersonal and communications skills.

-Ability to adapt and work effectively as members of a team.

-Good command of written and spoken language.

-Resourceful and self-driven with a high degree of professional integrity.

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.

Dermatology Senior Veterinary Nurse

Landon Veterinary Specialists (LVS) is expanding into new and exciting specialties in 2025! LVS is building a dynamic team of motivated, passionate Vets and Vet Techs/Nurses interested in Dermatology., who believe in evidence-based medicine and gold standard patient care. You will be working with a Veterinary Specialist Dermatologist within the Dermatology department.

FULL-TIME SENIOR VET NURSE

No proper Dermatology centre can operate without an awesome team of techs! We are looking for detail-oriented individuals who are not afraid of challenging themselves and learning new skills.

The position will involve providing care for skin conditions, assistance with dermatology procedures, anaesthetic monitoring, lab work and reception work.

Requirements

• At least 2 years of veterinary nursing experience, with animal handling skills
• Dermatology experience is an advantage but not essential as training will be provided
• Willingness to learn, with a strong work ethic and a team-player
• Compassionate and willing to put patient care first
• Brilliant client communication skills

What’s on Offer

• A competitive salary package, commensurate with experience
• An interesting and varied role
• Constructive input from specialist veterinarians, most of whom are from teaching backgrounds so are keen to teach
• A dynamic and supportive team environment
• Support for continuous education and special interests

If this sounds like a job for you or you just want to have a chat about this, please send your CV to [email protected].

www.lvs.com.sg

Dermatology Junior Veterinary Nurse

Landon Veterinary Specialists (LVS) is expanding into new and exciting specialties in 2025! LVS is building a dynamic team of motivated, passionate Vets and Vet Techs/Nurses interested in Dermatology., who believe in evidence-based medicine and gold standard patient care. You will be working with a Veterinary Specialist Dermatologist within the Dermatology department.

FULL-TIME JUNIOR VET NURSE

No proper Dermatology centre can operate without an awesome team of techs! We are looking for detail-oriented individuals who are not afraid of challenging themselves and learning new skills.

The position will involve providing care for skin conditions, assistance with dermatology procedures, anaesthetic monitoring, lab work and reception work.

Requirements

• Less than 2 years of veterinary nursing experience, with animal handling skills
• Dermatology experience is an advantage but not essential as training will be provided
• Willingness to learn, with a strong work ethic and a team-player
• Compassionate and willing to put patient care first
• Brilliant client communication skills

What’s on Offer

• A competitive salary package, commensurate with experience
• An interesting and varied role
• Constructive input from specialist veterinarians, most of whom are from teaching backgrounds so are keen to teach
• A dynamic and supportive team environment
• Support for continuous education and special interests

If this sounds like a job for you or you just want to have a chat about this, please send your CV to [email protected].

www.lvs.com.sg

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

• Fabrication of 2D materials based memristors using mask aligner, electron beam evaporator and shadow masks
• Characterization of 2D materials based memristors using a semi-automatic probe station, semiconductor parameter analyser.
• Characterization at the materials level using SEM, TEM, FIB, XPS, and Raman Spectroscopy.
• Other routinal paperwork related to the correct functioning of the group, including purchases, contract preparation and reimbursements.

Qualifications

• PhD in Materials Science and Engineering plus 3 years postdoc in memrsitors.
• Proficiency in using all the above mentioned machines
• Publications in top journals
• Fluent in English and Chinese language (including read/write) as the candidate is also expected to support applications for funding in collaboration with China (for example, with the NUS - Suzhou Research Institute).

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

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

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

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

Job Requirements

• Master’s Degree in Public Health or other related fields
• Minimum 2 years of working experience in Singapore’s healthcare/ research setting
• Experience in Singapore IRB applications
• Adept at collecting and working with qualitative data.
• Prior experience in various qualitative research methods and health services-related research will be advantageous.
• Proficiency with NVivo would also be an advantage.
• Possess excellent verbal and written communication and interpersonal skills.
• Able to work independently with limited supervision and in a team, with dynamic reporting lines and multiple stakeholders.
• Action-oriented, highly motivated, and target-focused.

We regret that only shortlisted candidates will be notified.

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 open in the research group of Prof. Shuzhi Sam Ge at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Assistant will work closely with the Principal Investigator (PI) on one or more research projects about Robust AI.

Job Description

This project will combine the strengths of machine learning and control theory and consider the complex dependencies among different sensor inputs to build a robust multimodal AI system that can serve safety-critical applications.

The successful candidate is required to:

• To prepare and meet the project deliveries and milestones;
• Conduct research on Robust AI for autonomous vehicles that can ensure the reliable computer vision of autonomous vehicles under adversarial attacks, or Digital Twin development (3D reconstruction, Generation, etc).
• To advance the knowledge, to publish in journals, conferences, or patents;
• To prepare and meet the project deliveries and milestones.

Qualifications

Qualifications

• At least a bachelor's degree and/or master's degree in Computer Science, Engineering, Physics etc, with specialization related to machine learning, computer vision, control science, computer engineering or related field;
• Prior experience in managing project, laboratory or research funding is advantageous;
• Responsible and able to work independently;
• Excellent written and spoken communications;
• Programming skills in one of the programming languages: Python, C/C++, Matlab, etc.
• Open to Fixed Term Contract.

We are seeking a skilled and experienced scientist to join our dynamic team. The successful candidate will be working in a strong team developing diagnostic product. The role involves collaborating with cross-functional teams, understand the target product profile for the intended use, conducting feasibility studies, verification and validation as well ensuring designs meet technical and regulatory requirements.

Roles and Responsibilities:

• Executing Analytical Validation and Clinical Validation laboratory work
• Executing laboratory work for IVD/RUO product optimization
• Develop protein conjugation capabilities within the protein team.
• Develop protein conjugation workflows which applicable to IVD/RUO product development and scalable for large scale manufacturing
• Documentation of laboratory results as required by DxD Hub QMS and A*STAR
• Support the development of target product profile

Key Requirements:

• Bachelor’s degree in science, Biology or related experiences
• 3 - 5 years laboratory experience
• Knowledgeable in protein conjugation techniques and immunoassays
• Knowledgeable in diagnostics and basic life sciences technologies
• Experience with office management software such as MS office (Excel, Word, PowerPoint)
• Able to communicate effectively, multi-task and able work in a dynamic environment
• Works well as part of a team, yet able to work independently
• Self-driven team player who is able to work in a fast-paced environment
• Work on-site with a cross-functional team

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Barbaros Oezyilmaz under a project on Spin triplet superconductivity in van der Waals heterostructures.

Applicants should have a Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines and strong background in low-temperature device physics. The successful candidate will be working in state-of-the-art research environment and receive internationally competitive salary packages.

Our group has extensive experience in the fabrication and characterization of van der Waals heterostructures based on magnetic and superconducting layered materials. To support our ongoing work, we are looking for a new team member with extensive experience in low-temperature magneto-transport measurements. The candidate is expected to do research on spin triplet generation and characterization by introducing an additional layer of a magnetic semiconductor into existing heterostructures to realize spin mixing.

The main responsibilities of the position include:

1. Design and development of magnetic tunnel junction or spin valve.
2. Nano fabrication (e.g., stacking of van der Waals heterostructures, e-beam lithography, nano deposition) in clean room.
3. Low-temperature electrical characterization of superconductors/semiconductors.

Qualifications

• Qualifications / Discipline:

1. Ph.D. degree in Physics, Material Science, Nanoscience and Nanotechnology, or related disciplines

2. Excellent English communications

• Skills:

1. Nanofabrication

2. Low-temperature measurement

3. Device physics

• Experience:

1. More than 4-year experience in clean room environment

2. More than 2-year experience in graphene or other related 2D materials

Essential duties and responsibilities for this position include:

• The candidate will work together with a multidisciplinary research team to develop the quantum optical characterization setups, such as g(2) measurements, entangled photon measurements
• Optical characterizations of the fabricated quantum optical & nanophotonic devices.
• Data processing, programming, and automation of characterization setups
• Scientific dissemination (journal papers, conferences, and patents)

The detailed job requirements:

• A PhD Degree in physics/quantum optical characterization
• Strong publication track record
• Strong foundation knowledge in quantum optical characterization.
• Strong capability with optical alignment and optical characterization is an essential requirement.
• Self-motivated and passionate on research work
• Possess good critical thinking and problem-solving skills
• Good team player
• Excellent oral and written communication skills
• Applicants with no minimum work experience may apply

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.

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

• Daily operational tasks such as subject recruitment, data collection, sample collection, processing and storage.
• Follow up with research subjects for research visits
• Assist PI with research meeting and collaboration
• Assist PI with databases creation and data entry
• Assist PI with ethics application
• To perform other related duties, incidental to the work described herein.

Qualifications

• Bachelor’s Degree in Nursing or relevant
• Excellent writing and communication skills in English
• Highly organized and able to work effectively under pressure, use independent judgement, and produce a quality work product within tight time constraints
• Ability to work in a multidisciplinary team

1. Cover letter highlighting relevant experience and career goals
2. Curriculum Vitae, containing details of three named referees
3. A complete NUS Personal Data Consent for Job Applicants (the form is available at NUS Personal Data Consent for Job Applicants)

Please note that only shortlisted candidates will be contacted.