Responsibilities:

• Independently plan and execute research audit programs
• Evaluate vendors’ compliance with its quality control procedures
• Conduct thorough checks during project setup
• Observe if data is collected in accordance
• Perform data quality analysis, using Excel/SPSS, to understand interviewer behaviour and detect data inconsistencies
• Document results of the evaluation accurately in an unbiased and timely manner
• Conduct investigations on irregularities and errors
• Produce research audit reports highlighting issues and recommendations for review with Department Head
• Present research audit findings to client
• Maintain collaborative working relationships with internal & external stakeholders
• Assist Department Head in consolidating best practices observed across the industry
• Any other tasks as may be assigned by the Executive Director

Requirements

• Diploma / Degree
• Inquisitive outlook who enjoys analysing data and problem solving
• Methodical with a keen interest in processes and continual improvement
• Highly observant to identify nuances or peculiarities
• Strong communicator, both written and spoken, to deliver research audit insights to various stakeholders
• Strong time management and organizational skills
• Competent in Pivot Tables, VLookUP, or SPSS
• Working knowledge of the Market Research industry will be an added advantage

Interested candidates, do submit your resume in MSWord or contact 6225 1232

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

National University of Singapore (NUS) is a reputed world-class university that provides an outstanding and supportive research environment. Singapore is a vibrant, well-connected city with low taxes and research hub in Asia.

NUS Department of Computer Science is seeking an exceptional postdoctoral researcher to lead a cutting-edge collaborative project with a leading tech company, developing a next-generation global overlay network. The project aims to design and implement a high-performance communication infrastructure capable of supporting complex real-time services across diverse geographical regions. He/she should possess experience or interest in the relevant areas:

• Advanced knowledge of real-time communication systems
• Experience with video conferencing and low-latency network protocols
• Strong background in network design and performance optimization
• Proficiency in system architecture and distributed computing paradigms

Qualifications

• PhD in Computer Science, Electrical Engineering, or closely related discipline
• Demonstrated expertise in computer networking and distributed systems
• Research experience in low-latency communication technologies is a plus
• Good publication record in top-tier academic conferences and journals

Duties:

• Responsible for bottom-up fundamental analysis and due diligence of companies and industries in order to make investment recommendations.
• Strong analytical skills with the ability to form an independent opinion.
• High degree of proficiency with understanding and analyzing financial statements.
• Monitor sector, market and economic conditions and assess their impact on portfolios.
• Conduct ongoing due diligence and monitoring of portfolio companies.
• Communicate investment ideas effectively and prepare presentation materials for investment committee meetings.

Requirements:

• Bachelor degree in a related field.
• Additional professional certifications (e.g. CFA) would be a plus.
• 3-5 years of experience in the finance or investment industry, preferably in asset and wealth management.
• Strong knowledge of investing and financial markets, particularly in the equity asset class.
• Previous experience with developed markets equities and derivatives would be an advantage

Interested applicants, please click Apply Now

Chow Zi Qing

R2199258

Revup Proservices Pte Ltd

EA.24C2366

A qualified candidate will be self-motivated with strong technical and analytical skills as well as possess practical and hands-on approach to engineering control in the areas of metrology management

Responsibilities:

• Recipe creation and optimisation for new R&D applications requirement.
• Preventive and corrective maintenance planning cum execution and vendor management.
• To take charge of new tools technical assessment and tender creation (equipment cum process application startup) and service contract tender set-up
• Drive continuous improvement projects (CIP) to achieve better measurement repeatability (MSA, GR&R, SPC etc).
• To set-up appropriate process and product control plan and out of control action plans (OCAP)
• Provide technical training to related staff on best-known practices in terms of application metrology recipe creation.

Requirements:

• Bachelor degree in Electrical and Electronics, Material, Physics or Chemical engineering
• Minimum 3~5 years of hands-on semiconductor experience (preferably in metrology application and equipment maintenance)
• Possess computer soft ware skills (i.e. JMP, Minitab, SQL, Visual basic, etc)
• Knowledge in problem solving and quality control skills (i.e. LEAN 6sigma, RCA, DOE, etc)

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 Dr LIU Shi on synthesizing and characterizing GPCR-targeting cyclic peptides.

The main responsibilities of the position include:
1. Structure-guided design of GPCR-targeting cyclic peptides
2. Conducting cellular assays to test the activities of cyclic peptides

Qualifications

• Qualifications / Discipline: Bachelor/Master degree in Chemistry, Biology, or relevant majors

• Skills: Experienced in organic synthesis and/or biochemical experiments

• Experience: Experienced in organic synthesis and/or biochemical experiments

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 posting is for Research Assistant positions in the exciting areas of electrochemical ammonia synthesis in the Xianbiao Fu group, which is affiliated with the Department of Materials Science and Engineering at the National University of Singapore (NUS).

The perspective Research Assistant positions are to develop:

1. Understanding the mechanism of Li-mediated NRR and Ca-mediated NRR
2. Exploring novel methods for nitrogen activation under mild conditions
3. Ammonia electro-oxidation and decomposition

The responsibilities of the Research Assistant also encompass facilitating communication and information flow among groups working in the fields of catalysis and electrosynthesis. Additionally, the Research Assistant will provide management support during the development of larger research proposals and contribute to initiatives aimed at sharing and advancing infrastructure for catalysis and electrosynthesis research.

Research Group Website: https://www.xianbiaofugroup.com/

Applicants should send those materials (CV, cover letter, and 3 representative papers) in the form of a PDF document to the NUS Career Portal. Please indicate " Research Assistant application, Name" in the subject of the email and submit all application materials in English.

Qualifications

• The applicants must hold M.S. degree (or other equivalent degrees) in chemistry, chemical engineering, materials science or other relevant related fields.
• Experience with catalysis, electrochemistry, organic electrosynthesis, ammonia synthesis, organic synthesis and other related areas, is considered advantageous.
• Experience with material characterization techniques like SEM/EDS, TEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered.
• Since cross disciplinary work is essential for the success of this project. It is considered positive if the candidate can demonstrate experience in similar work environments.

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 Dr Gloryn Chia on investigating the interactions between immune cells and cancer cells.

The main responsibilities of the position include
1. Perform or assist in research such as cell culture and molecular biology
2. Lab maintenance
3. Safety lead

We are seeking a motivated Research Officer with experience in cell culture (organoids culture) and molecular biology work. Our team aims to engineer cells to develop immunotherapeutic strategies to target refractory cancer types.

Qualifications

Qualifications / Discipline:

• Bachelor’s Degree in Life Sciences or other relevant disciplines.

Skills:

• Competency in standard molecular biology and cell culture techniques.
• Demonstrates independence and willingness to learn new techniques.
• Good communication skills and team player.

Experience:

• Experience in cell culture and molecular biology (e.g. PCR, cloning, flow cytometry, western blot, etc.) will be advantageous.

COMPANY DESCRIPTION

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

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

RESPONSIBILITIES

The candidate will be responsible for conducting research on evaluating and enhancing autonomous driving systems and cybersecurity solutions. Successful candidate will be part of an active research team led by Prof. Xie Xiaofei from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Designing algorithms for testing AI systems, with a particular focus on enhancing efficacy and performance
• Developing high-performance tools for testing both Autonomous Driving Systems and Cybersecurity Solutions, specifically targeting malware detection and intrusion detection systems
• Ensuring the reliability and robustness of the tools through thorough testing
• Evaluating the tools in real-world applications to validate their effectiveness

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 3 years of relevant research experience in cybersecurity and AI
• Advanced knowledge/Proficiency in programming software/languages such as Python and C/C++ will be positively considered/ is required
• Demonstrated experience and know-how on trustworthy AI, autonomous driving systems, cybersecurity and developing high-performance software
• Experience with at least one programming software/languages, such as Python, C or C++ is preferred
• Excellent working knowledge of cybersecurity, software design and development
• Good analytical, technical and problem solving skills
• Applicants with research publications in cybersecurity and AI area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering seeks to hire an Executive (Research) to assist in department administration for projects hosted and co-hosted by the department, to assist in charting out activities and outreach for research clusters and initiatives based in the department, and to assist the Deputy Head (Research and Enterprise) and the Head of Department in specific projects and grant administration.

• To execute and administer research administration for projects hosted and co-hosted by the Department of Civil and Environmental Engineering, including managing the departmental research portfolio, proposal grant submissions, grant life-cycle administration (from initiation to closure and audit), financial and audit reports to grantors and auditors, grant data management, and others.
• To assist in charting out and implementing research outreach and activities for the Department of Civil and Environmental Engineering, including emerging research initiatives, research cluster activities and liaising with industry. • To assist in the writing, collation and documentation of research activities for the research clusters
• To assist in the collation of data, design, planning and preparation of publicity materials for research outreach, including department presentations, videos, research publications, research seminars and webinars, research website and updates.To assist in the preparation of large grant call proposals for the department.
• To assist in specific research project and grant administration as approved by the Deputy Head (Research) and the Head of Department.
• Any other ad-hoc duties as assigned.

Job Requirements

• Minimum Bachelor's degree in relevant discipline
• Minimum 2 years of experience in relevant areas
• Proficient in Microsoft Office; Powerpoint, Words, Excel (Pivot table, vLookup)
• Competent in writing, collating and summarising information
• Able to handle confidential data.
• Meticulous with strong follow-through on work matters.
• Background in science or engineering is preferable
• Open to fixed term contract.

• To perform activities during the in life and/or necropsy phase of experimental studies, in accordance with pertinent guidelines and standards.
• Full-time involvement in the practical conduct of studies, including in life operations and necropsy procedures (where applicable)
• To perform the planned daily work activities (e.g. animal husbandry, scientific procedures and necropsy).
• To check the plausibility and quality of generated raw data.
• To be familiar with and to uphold animal welfare standards in compliance with the NACLAR guidelines and other relevant standards, with regards to the use of animals in scientific research. To be responsible for the wellbeing of all animals in their care.
• To perform the scheduled endpoint measurements for studies, such as urine collection, blood collection & organ collection.

Requirements

• Min Diploma in any science or engineering courses
• Min 1 to 2 years of animal husbandry / vet experience
• Exp in AAALAC or NACLAR guidelines.

1 year contract x 1

Perm x 1

Up to $3.5K

Office hours, Mon to Fri

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

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 Research Fellow will work closely with the Principal Investigator (PI) to conduct 4D metal printing design and control.

The job scope of this position is:

• Conducting literature reviews
• Planning and implementing experiments and simulations
• Writing progress reports and research papers
• Other lab activities

Qualifications

• PhD in Metallurgical Engineering, Materials Science, or Mechanical Engineering
• Extensive research experience in metallurgy, mechanical properties, and additive manufacturing is required
• Research experience with nitinol or other shape memory alloys is favourable
• Good attitude, self-motivated, good team player

• Excellent command / highly proficient in spoken and written English

JOB DESCRIPTION

ISCE2 is looking for a highly motivated candidate with great interpersonal skills to join Lab and Facilities Division. The successful candidate is expected to contribute to ISCE2 by the following:

1. Upkeep and ensure good lab housekeeping for designated laboratories, sufficient supplies of common chemical and laboratory consumables (including procurement) etc.
2. Lab ambassadors to promote sustainable lab operations and greening of laboratories.
3. Ensure common equipment functionality and its operation within required limits by internal and external preventive maintenance.
4. Initiation and coordinate disposal of unwanted, obsolete chemicals and generated waste in designated laboratory.
5. Ensure all new laboratory personnel receive laboratory induction and specific lab operational procedures before they commence work in the lab.
6. Ensure lab occupants (i.e., staff and students) comply with general laboratory safety rules. Communicates information on identified hazards and precautions to all lab users.
7. Initiate and coordinate all necessary corrective actions to rectify safety discrepancy found in the lab.
8. Maintain up-to-date chemical inventory and ensure Safety Datasheet (SDS) for chemicals are readily available for respective laboratories.
9. Coordinate the compilation and maintain laboratory documentation (equipment manuals, equipment standard operating procedures, maintenance records and inventory record of regulated chemicals).

JOB REQUIREMENT

• Diploma or degree related to chemical engineering or equivalent.
• Prior work experience in a laboratory is not a requirement but an added advantage.
• Team player with initiative, drive and good communication skills.
• Ability to work independently under minimal supervision.
• Team player with good communication skills.
• Willing to work on all ISCE2 sites including main site at Jurong Island (Shuttle buses are available at various locations for commute into and out of Jurong Island site).

Job Responsibilities

· Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

· Perform data analysis and visualization work to support research projects, grant applications, and publications

· Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

· Coding work required

· Perform data cleaning, data standardization, and data structuring for data in the database

Job Requirements

· Min. Bachelors in relevant field (Biology, Bioinformatics, Computational Science)

· Knowledgeable in medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Key Responsibilities:

• Work with the team to build pipelines on Platform on data can be processed effectively

• Organize the database such that all clinical data are linked and easily retrieved - Build the pipelines for federated data sharing

• Data Analysis: Perform data analysis and visualization work to support research projects, grant applications, and publications

• Database Management - Manage the database used to host our clinical data to ensure that it is maintained operationally in a cost-effective manner

• Perform data cleaning, data standardization, and data structuring for data in the database

• Coding work required

Requirements:

• At least BSc in a relevant field (biology or bioinformatics or computational science)

• Possess an understanding of medical and clinical research terminology

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

We are seeking a talented and motivated Research Engineer to join our team focused on developing cutting-edge AI models for vision inspection. This role involves leveraging state-of-the-art computer vision and machine learning techniques to solve complex manufacturing inspection challenges.

Responsibilities:

-Design, develop, and optimize AI models for image-based vision inspection tasks.

-Implement and fine-tune state-of-the-art models such as YOLO, Yolact, DeepLabV3, Vision Transformers, and others.

-Develop and maintain Python-based pipelines for data preprocessing, model training, and evaluation.

-Research and implement innovative algorithms to improve model accuracy and efficiency.

-Collaborate with cross-functional teams to understand project requirements and deliver high-quality integrated solutions.

-Document research findings, experimental results, and software implementations.

-Stay updated with the latest advancements in AI and computer vision technologies.

Job Requirements:

-Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

-At least 3 years of experience

-Strong proficiency in Python programming.

-Expertise in deep learning frameworks like PyTorch (mandatory) and TensorFlow (preferred).

-Hands-on experience with computer vision models, including YOLO, Yolact, DeepLabV3, Vision Transformers, etc.

-Familiarity with image processing techniques and libraries such as OpenCV.

-Strong problem-solving and analytical skills.

-Strong communication and excellent writing skills

-Have a strong work ethic, and able to work on own initiative.

-Team player, communicate efficiently, be flexible and details oriented.

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 Research Assistant will work closely with the Principal Investigator, Dr. Zhang Yamin, on the research project of design phototransistors for healthcare and sustainable applications.
• The Research Assistant will help develop implantable and bioresorbable phototransistors, self-powered electronic platforms, and investigate the medical and environmental applications.

Job Requirements

For Research Assistant Position:

• A master’s degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Electrical Engineering;
• Good publication record;
• Experienced microfabrication experience
• This position is available from July 2025

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 is needed to help organize research project, laboratory and equipment management, arrange for group meetings and activities and provide technical support on electronics for research. He/she will be required to conduct independent and collaborative research in the field of neurological and biomedical devices under guidance of the principal investigator.

Qualifications

• Possess at least a bachelor’s degree in science and or engineering related field.
• At least 3 years of related work experience.
• Strong written and spoken communications and able to present results clearly.
• Open to fixed-term contract.
• Students that are doing their PhD at this moment will be preferred (There will be a need to convert to PT studies as this is a Full-time 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.

About the Asian Institute of Digital Finance

The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a FinTech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future FinTech researchers and practitioners in Asia.

Duties and Responsibilities

To work closely with our research team to drive innovative solutions in credit recovery efficiency analytics. Primary responsibilities will include:

• Develop and maintain frontend and backend systems for forecasting models and data integration.
• Perform data processing tasks to ensure accessibility and usability for research purposes.
• Provide assistance in research-related affairs, including collaboration with analysts and scientists.

Qualifications

• ​​​​Master's degree in Mathematics, Fintech, Statistics, Computer Science or related field
• Proficiency in Python and SQL.
• Basic machine learning knowledge.
• Familiarity with Full Stack technologies, including Django, React, HTML, CSS, and JavaScript.
• Knowledge of data mining, backend system development, and financial technology applications.

What You'll Be Doing

• Conduct statistical analysis and provide support for research projects
• Manage the organisation’s databases, perform data extraction, and compile statistical data for reporting purposes
• Assist in coordinating research projects for ethics approval and securing research funding as needed

What We're Looking For

• Bachelor Degree level from recognised institute
• 1-2 years of relevant experience in statistical tasks related to the data collection, compilation, and interpretation will be advantageous
• Proficient in SPSS and STATA

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button.

**We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities.**

**JobStudio will not solicit any money, request to use your bank account for business or request you to transfer any monies to any parties. Please be aware of scams impersonating JobStudio and our employees. You may call our office directly for verification. We will not be liable for any loss arising from scams.**

JOBSTUDIO PTE LTD

EA License No: 10C4754

EA Personnel: Stephanie Toh

EA Personnel Reg No: R1217674

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 Role

We are looking for a Research Fellow who will be responsible for undertaking in-depth research and innovation in machine learning, data science, and artificial intelligence on natural language processing for information extraction and knowledge discovery that lead to publications in top-tier international conferences and journals, as well as real-world implementations.

Responsibilities:

• Develop new concepts and algorithms in data science, machine learning, and artificial intelligence for natural language processing with a focus on knowledge-graph approaches to address the data integrity issues, information extraction from user conversation data and dialog tree generation;
• Be up-to-date on state-of-the-art methodologies in related technical fields and application domains;
• Develop ideas for application of research outcomes;
• Contribute to knowledge exchange activities with external partners and collaborators

Requirements

• A PhD in Computer Science, with specialization related to natural language processing, machine learning, data mining, artificial intelligence or databases;
• Proven ability to conduct independent research with a strong and relevant publication record;
• Prior experience in knowledge graphs, information extraction, dialog tree generation and knowledge discovery using state-of-the-art NLP approaches.
• Experience with deep learning-based information retrieval, and/or deep generative natural language approaches for conversation AI would be a plus;
• Excellent interpersonal communication and presentation skills.

Responsibilities:

• Provides assistance to the research team

• Screens and recruits suitable patients to participate in the research project

• Briefs patients on research background and rationale and to obtain their consent of participation

• Collects data from patients' medical records and research statistics

• Helps document adverse events / reactions that arise

• Performs phlebotomy and venepuncture when required

Requirements:

• Minimum Degree/ Diploma in Nursing

• Min 3 years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume in MS Word to

[email protected]

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to support the research for the project titled: Collection of carbon dioxide on CO2-philic and phobic surfaces via cryogenic energy.

The scopes cover exploring the selected materials for designing the substrate surface for CO2 condensation, and surface treatment for the liquid wetting for the phase change process and heat exchanging process for the thermal management and decarbonization applications. The project covers material development, interfacial phenomena between gas and liquid, phase change of CO2, heat transfer effect, etc.

Key Responsibilities:

The Research Fellow will conduct the research on development of materials and heat exchanging processes for energy harvesting systems and CO2 collection on the substrate with the different wettability degrees. The roles of this position include:

• Develop and maintain the system for CO2 condensation under the large pressure range.
• Prepare the substrates for CO2 condensation and treating the surfaces with the different degrees with liquid CO2.
• Upgrade the experimental visualization system to monitor the fluid dynamics and thermal performance.
• Develop the thermofluid test rig from the cryogenic temperature to 200°C.
• Develop the model and simulation for CO2 collection.

Job Requirements:

• PhD degree in Mechanical or Aerospace Engineering or the related fields.
• 3-year research experience in heat transfer, energy, or cryogenic fluid related area.
• Expertise in engineering design and experimental skill.
• Knowledge in interfacial phenomena and gas-liquid phase chance.
• Publication track record including journal paper publication is as one reference.
• Proficiency in basics of engineering design, mechanical analysis and thermofluid software.
• Proficiency in English and good communication capabilities for Research Project Purpose.

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

Duration: 1 year contract

Location: Caldecott

Responsibilities

To assist in research work. Job duties include (not limited to):

• Conduct literature review
• Collect data and manage database
• Analyze data and report findings
• Provide administrative support

Requirements

• Bachelor’s degree in Psychology/ related social science discipline
• Experience in quantitative research (e.g., thesis using quantitative methods)
• Knowledge in R or Python is a plus
• Knowledge in Tableau or Power BI is a plus
• Strong analytical and critical thinking skills
• Good communication and interpersonal skills
• Attention to detail and strong organizational skills

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

https://sg.go.persolkelly.com/job/apply/10899

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

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • Reg No: R23117066 (CHEW KIA ZHENG)

Role Summary/Purpose

To support the advertising sales team by providing audience data and insights, to help with revenue generation. You can look forward to work in a world-class global media organisation and learn how data gets translated into meaningful insights that support the wider team in sales pitches and measuring campaign performance.

Your responsibilities may span the following areas:

• Analysing audience data, presenting them in the form of meaningful charts & slides to support the Advertising Sales pitch process.
• Monitoring campaigns’ performance, prepare post campaign performance reports for advertising clients, spanning TV, Digital and Social channels.
• Conducting desktop research, identify trends and developments for a wide range of industries (eg. luxury, travel, B2B tech).

You will work as part of an established and nationally funded multi-disciplinary research group that focuses on hepatocellular carcinoma (HCC). You will work closely with patient cohorts and relevant pre-clinical models; processing biosamples and conducting of experiments to ensure timely achievement of project milestones. The ideal candidate will have a background in handling and processing of patient’s biosamples, maintaining the inventory of biosamples repository, as well as experience in molecular and cell biology functional work. The successful candidate will thrive in a dynamic and collaborative research environment, working closely with post-docs, clinical coordinators, bioinformaticians, clinicians, and researchers involved in ongoing clinical trials. This role offers a unique opportunity to contribute to cutting-edge cancer biology research, with the potential to directly impact therapeutic strategies for HCC patients. Expertise in cancer models, immunohistochemistry, and translational research is highly desirable. Opportunities for publications will be provided.

Your responsibilities will include:

- Timely processing of valuable clinical biosamples for translational research.

- Maintain accurate database of clinical biosamples.

- Able to perform molecular and cell biology functional work to provide quality and reliable experimental output.

- Establish research plan and methodologies, troubleshoot and run research independently.

Requirements:

- Bachelor degree in biomedical science or equivalent.

- Experience working with human samples is required.

- Familiar with techniques like flow cytometry, ELISA, western-blot, cell culture, animal work will be an advantage.

- Possess excellent analytical, technical and problem-solving skills.

- Well organized and detail oriented.

- Ability to coordinate diverse groups of people.

- Excellent written and verbal communication skills.

- Able to work independently and interactively in a team setting, motivated, responsible and a fast learner.