Total 2,238 Science / R&D / Research job vacancies

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-in-Quantum-Computing/32392-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and Quantum Information Science to generate insights for fault-tolerant quantum computing. The successful candidate is expected to: 

• Leverage deep theoretical insights in many-body physics and integrable systems to design and simulate circuits for robust state preparation and error-mitigation
• Design and execute experiments for state preparation and error-mitigation
• Analyze complex datasets and maintain meticulous records of methodologies and findings
• Author high-quality manuscripts for peer-reviewed journals and present research at international conferences
• Contribute to the drafting of presentations, research proposals and grant applications to secure future funding

Qualifications

• PhD in Theoretical Physic specializing in condensed matter theory, or closely related fields 
• Experience translating the theories of many-body physics and integrable systems, or related topics, into quantum computing applications is preferred
• Proficiency in Python (required) and/or other programming languages
• Experience with Guppy and/or know-how using the Quantinuum quantum software stack 
• A strong record of research productivity evidenced by first-author publications in reputable, peer-reviewed journals.
• Able to work both as an independent researcher and in multidisciplinary team environment

• 5 Work Days, 8.30am-5.30pm / 9am-6pm 

• Office Near to Kaki Bukit MRT, Singapore 

• Medical Benefits Provided 

  Entitled to Yearly Bonus & Performance Bonus 
  

Job Requirements: 

1. Preferable Master's Degree in Computer Science, Applied Mathematics, Electrical Engineering, Pattern Recognition, Artificial Intelligence, Automatic Control, Operations Research, Biology, Physics / Quantum Computing, Neuroscience, Statistics or a related field. 

2. Familiar with common machine learning and deep learning algorithms and keeping track with the latest SOTA implementations. 

3. Strong programming skill in Python, C / C++, proficient in mathematical / statistical concepts and exceptional coding skills 

4. Hands-on experience with AI / ML frameworks be familiar such as Caffe, PyTorch, TensorFlow, MxNet etc. 

5. Have rich project experience in machine learning and deep learning, be familiar with common algorithm models, such as CNN, RNN, LSTM, Transformer, ViT, etc., and be able to improve and innovate models according to actual problems. 

6. Experience in familiar the design, parameter tuning and optimization methods of neural network models is a plus 

7. Experience in model compression and in the transplantation and optimization of deep learning forward inference on various platforms, including NPU / GPU / DSP / ARM on mobile platforms and CPU / GPU on server platforms is also a plus. 

8. Strong logical thinking and problem-solving ability, able to independently undertake the research and tackling of complex problems and team spirit are highly valued traits. 

Job Responsibilities: 

• Algorithm Development: Development and optimization of machine learning and deep learning algorithms to solve complex business problems. 

• Model Training and Evaluation: Participate in the construction and training of artificial intelligence models, including but not limited to neural networks, decision trees, etc., evaluate and optimize the models to improve their performance and accuracy. 

• Data Analysis and Preprocessing: Conduct data collection, cleaning, preprocessing and feature engineering, provide high-quality data for model training, and arrange and guide data labelers to carry out data labeling and other work. 

• Collaboration and Deployment: Collaborate with team members to integrate algorithm models into actual business systems, promote the implementation of projects, and realize the intelligent upgrading of products. 

• Research and Innovations: Stay up to date with the latest advancements in AI and ML technologies. Explore and deploy new technologies, drive innovations to create value to market needs, and enhance the company’s competitiveness. Audio and video algorithms for surveillance/monitoring applications which also include the research and implementation of algorithms involving target detection, feature extraction, tracking, and recognition. 

• Documentation and Reporting: Maintain comprehensive documentation of algorithms, experiments, and project workflows. Communicate results and findings to technical and non-technical stakeholders. 

Reolink, a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. 

Our Products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. 

Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 

The Institute for Digital Molecular Analytics and Science (IDMxS) of the Nanyang Technological University, Singapore, is searching for a Research Fellow to develop artificial intelligence/ machine learning algorithms to support research in IDMxS.

Key Responsibilites:

• Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS.

• Help supervise PhD and undergraduate student projects as required.

• Work closely with an interdisciplinary team members from other research clusters at IDMxS.

Requirements:

• PhD in Electrical and Electronic Engineering, Computer Science, or related field, with strong background in machine learning.

• Publications in top-tier journals and/or conference presentations as first author.

• Proficiency in AI programming languages such as Python.

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

A Research Associate position is currently available in the Division of Information Technology and Operations Management (ITOM), NBS. The role of the RA involves develop (a) competitive dynamic pricing model for multi-flight airlines; (b) an empirical model that assess the impact of DP on customer loyalty; (c) process a massive real-world database to valid the models in (a) and (b); (d) produce research papers for top conferences and top journals in operations management and data science.

Responsibilities:

• Support the PI/Co-PIs in research efforts

• Develop a competitive dynamic pricing model for multi-flight airlines that can be implemented in real world.

• Develop empirical model investigating the impact of dynamic pricing volatility on customer loyalty.

• Process the airline transaction data (2017-2019, about 20GB) and develop the necessary research databases for specific purposes needed for the overall completion of the project.

• Develop models to unconstraint the demand and apply them to the real data.

• Together with PI/Co-Pis, write academic papers for conference presentations and submission to top-tier journals. 

Requirements:

• Minimum Master by Research or near PhD competition or PhD in Operations Management with core competency in stochastic optimization and Markov Decision Process (MDP) modeling.  

• Possess excellent skill in data analytics and good understanding in ML, RL, LLMs, etc.

• At least 2 years of relevant experiences in similar role (such as RA) / technical hands-on experience (with clear evidence)

• Good written and oral communication skills

• Proficiency in Python, R, MATLAB.

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

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

Days: Mon - Fri, 8.30am - 6pm/9am - 6.30pm
Location: Tanjong Pagar
Duration: 1 year contract renewable

Responsibilities:

• Target potential clients through calls/site visits for info gathering
• Build and maintain strong client relationships
• Identify and develop new survey strategy opportunities
• Communicate survey value clearly to respondents
• Collect and verify survey responses via calls, emails, visits
• Input accurate response data
• Report customer feedback and industry insights
• Collaborate with team for cohesive client/survey approach
• Communicate effectively and actively listen to respondents
• Ensure KPIs and targets are consistently met

Requirements:

• Singaporeans ONLY
• Minimum A/Diploma/Degree.
• Meticulous and detail oriented.
• Excellent communication skills, problem-solving skills and analytical skills.
• Confident, persuasive, good reasoning, proactive and willing to go extra mile.
• Strong interpersonal skills to assist survey participants effectively.
• Prior experience in survey administration/market research/consultancy/PR firm/customer service call centre/telemarketing/HR practice/Corporate sales/marketing experience will be a plus.
• Independent and self-motivated to achieve monthly KPIs
• Proficient in MS Excel, email communication and internet browsing hands-on experience in these areas.

Interested applicants can forward your updated resume to yewcheong.hui@cornerstoneglobalpartners.com

**We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you give consent to collection, use and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by company relating to this job application.

Company Registration Number: 201622755N|EA License: 19C9859| Registration Number: R24124511
Hui Yew Cheong

Job Description

• Deliver lessons in an engaging and dynamic manner, based on our curriculum and pedagogy
• Develop lesson materials and provide feedback to help students achieve visible improvement in academic results
• Engage students and help them realise their potential
• Teach Primary to Secondary Maths and Science Subjects

Requirements:

• Degree obtained from Singapore Local Government Universities
• Strong in Maths and Science Subjects
• Demonstrate passion in education – committed to nurturing the students and makes effort to continually improve yourself
• Dynamic and confident, with an approachable disposition
• Strong communication (both spoken and written) and interpersonal skills
• Required to work on weekends
• Candidates with prior teaching experience are preferred

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

Highlights:

• West Area

• Day Shift

• 1 year contract renewable, 13th Month AWS, US Pharma MNC

• Provide Training to be a Research Nurse

Job Description:

• To screen study participants in accordance with regulatory guidelines and ethical standards.

• To conduct informed consent discussions and ensure participants understand the study's requirements.

• To monitor patient progress and collect data during clinical trials, ensuring accurate documentation.

• To administer study-related interventions as per protocol, including medications and treatments.

• To conduct assessments and follow-ups with participants, addressing any concerns and providing education.

Requirement:

• Diploma/Degree in Nursing, Valid SNB & BCLS a

• Able to perform Phlebotomy, Cannulation

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

clinicalresearch@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No 199601303W

EA Licence No. 99C4599

Position Summary

• Supports the monitoring of Asia-pacific regional units’ business plans, review of actuarial calculations (EV, pricing etc.) and communication with top management. Also monitor, manage and supervise the actuarial operational matters implemented by the regional business units and ensure that they follow the standard of DL Group.  
• Leads the communication with regional business units and management, and to provide comprehensive advisory support in terms of actuarial matters.  
• Supports the development and monitoring of Asia-pacific regional units’ business plans to ensure continued growth and profitability.  
• Support formulation of KPIs for business units through close coordination with DLHD; support the development of performance monitoring rules and tracking of actual results. 
• Take leadership role within ad hoc projects. 

Principal Responsibilities
1. Monitoring and Support of Business Units

• To have a general understanding of the business beyond their functional scope, and to align with the Regional Management Department and other related departments in the execution of projects in order to support and achieve the KPI goals of the business units.  
• Supports the validation, valuation, and review of the reasonability of assumptions and sales plans. 
• Supports the review on adequacy of regional business units’ business plans, reasonableness of financial projections and risk management initiatives. 
• Oversee product profitability, reinsurance, EV, VoNB and IFRS17 implementation for all business units across the region. 
• Manage the actuarial operational matters implemented by the regional business units and ensure that they are in accordance with the overall standard of DL Group. 
• For existing markets, support in the development of the actuarial personnel for each regional business unit. 
• For new markets, to support product development, actuarial topics, and local actuarial talent training and development. 

2. Communication with Business Units and Management

• To communicate between the actuarial targets and initiatives of each business unit in the region with the Global Headquarters. 
• To advise the management on the sound financial management of the business units including product pricing and design, financial and insurance risk and capital adequacy management, liability best estimate assumptions and measurements. 
• Ensure timely reporting to the Management and Head Office on the financial soundness of the business units and to offer recommendations on corrective actions if necessary. 
• Ensure regular and timely reporting to the Management and Head Office of business units top-line and bottom-line information.

3. Performance Management

• Support reporting framework ensuring high quality management information delivery and efficient work processes in close collaboration with other DLAP teams
• Support development and implementation of performance management (KPI) framework for the regional business units as well as DLAP

4. Other ad-hoc matters

• Guidance of project team(s), keeping projects on track, meeting budget goals, and deadlines.  
• Facilitation of conversation with all involved parties and stakeholders. 

Job Requirements

• Bachelor’s degree and above
• Experience in life insurance actuarial field
• At least 10 years of working experience in life insurance company, with at least 5 years at Manager level or above.
• Experience working in the headquarters or regional office of a life insurance company listed on a major global stock exchange (e.g., Tokyo, New York, NASDAQ, London, Shanghai, Euronext), with direct involvement in actuarial functions such as pricing, valuation, or risk management.
• Hands-on experience with IFRS17 and/or ICS implementation, including interpretation and application of standards.
• Strong financial acumen, with ability to analyze and interpret financial indicators such as assets, product portfolios, regional performance, and regulatory impacts.
• In-depth knowledge of actuarial and accounting standards relevant to life insurance, including local and international regulations.
• Ability to prepare and analyze financial reports, ensuring accuracy and compliance.
• Excellent communication and stakeholder management skills to collaborate effectively across multiple functions and geographies.
• Qualified Actuary (qualification of US, UK, Australia, Japan is preferable)

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Description :

• Under general supervision, applies functional specifications and uses engineering tools to design hardware for product changes and new development.
• Independently processes data, writes engineering reports, and conducts diagnosis of routine hardware malfunctions.
• Contributes in reliability analysis such as risk assessments and Failure Mode Effects Analysis by compiling and examining data.
• Identifies the testing requirement at a system level with the emphasis on complying with test standards and Halliburton's Health, Safety, and Environment procedures.
• Contributes to Halliburton's Intellectual Property portfolio by preparing Invention Disclosures and recognizing ideas that have Intellectual Property potential without disclosing confidential information.
• Coordinates with project leads to produce project deliverables by assessing input requirements and applying functional specifications.
• Develops relationships through excellent communication skills and acts as a key resource to provide innovative solutions.
• May participate in professional societies in area of specialization.

Requirement:

Requires completion of a bachelor's degree in Mechanical Engineering or similar discipline; master's degree preferred.

Requires two years of related experience (requirement may be waived with master's degree).

Our client is actively searching for a Senior Asst Director, Research to join their team!

We are seeking an exceptional strategic leader to serve as Senior Assistant Director, Research within the College. Working closely with the Dean, Associate Dean (Research), and Director (Operations), you will play a key role in shaping and delivering the College’s research strategy, translating vision into programmes, structures and support systems that enable academic excellence, interdisciplinary collaboration, and global visibility.

As the senior professional lead for research, you will oversee the College’s research ecosystem, driving performance, strengthening research impact, and fostering connections across Schools, Research Centres, and external partners. You will lead and enhance research support operations, ensuring high-quality and efficient systems that enable both investigator-led and collaborative research to thrive, while also supporting the development of research centres, major initiatives, and competitive funding opportunities.

Working in close partnership with the Director (Operations), you will help ensure alignment between research strategy, operations, and resource planning across the College, translating strategic priorities into coordinated execution.

With a strong focus on data-informed decision-making, you will provide strategic insight on research performance and influence, while contributing to a research environment that supports diverse scholarship and intellectual leadership.

This is a unique opportunity for a collaborative and forward-looking leader to shape the future of research in a globally ambitious and interdisciplinary environment.

The ideal candidate will need to have the following qualities and experience:

• Bachelor’s degree from a recognized university.
• At least 10 years of relevant work experience in research administration especially in grant sourcing, grant administration (pre-grant award and post-grand award) in an academic and (or) research institutions.
• At least 3 years of people management/ leadership experience.

Skills & Competencies

• Strong interpersonal skills and ability to work effectively with multiple stakeholders across levels and cultures.
• Highly proficient in data analysis and reporting of grant information and research output, financial projection and budgeting.
• Able to handle confidential information sensitively.
• Strong working knowledge of MS Office applications. Knowledge of quantitative data analysis would be a plus.
• Proactive, resourceful, adaptable, hands-on, meticulous, organised and motivated to take on new challenges.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

The NCCS Division of Medical Oncology is looking for a passionate and enthusiastic individual to join the Supportive Care, Integrated Treatment, And Rehabilitation to Improve Outcomes in Gastrointestinal Cancer (STRONG) team.

The Research Coordinator plays a key role in supporting patients enrolled in the STRONG program. The incumbent serves as the first point of contact for patient enrolment, guiding patients through the onboarding process and ensuring they receive essential programme information. The role is responsible for administering questionnaire surveys and conducting functional assessments at designated timepoints, enabling timely monitoring of patients’ functional status and treatment progress. Through care coordination and health coaching, the coordinator helps patients navigate their treatment journey and ensures they receive holistic, continuous support from the multidisciplinary team.

Key Duties:

1.Programme Management

• Lead the programme to achieve programme’s objectives
• Collaborate with gastrointestinal cancer team, including doctors, nurses and allied health partners
• Create and revise patient education materials.
• Manage programme’s publicity plan to ensure visibility 

2.Patient recruitment

• Work closely with DMO doctors/ APN to recruit eligible patients into STRONG program.
• Identify and recruit patients who are eligible for STRONG program
• Explain the STRONG program, including its objectives, assessments, and available support services
• Provide patients with essential information (STRONG e-booklet) and contact numbers (APN, CIH, NCCS hotlines)

3.Patient assessment

• Administration of validated questionnaires and functional assessments. 
• Monitor changes in patients’ functional status and coping

4.Care coordination and health coaching

Assist with patient’s queries (in person and through text messaging platforms like WhatsApp, SMS, calls and emails), including but not limited to:

• Clarifications on appointments/ chemotherapy schedules
• Shifting of appointments
• Basic health coaching
• Directing clinical queries to the appropriate healthcare professionals.

5.Administrative work and others

• Input all assessment data and patient communications into Sunrise Clinical Manager (SCM).
• Maintain and update the STRONG program database with relevant information such as patient’s demographics, referrals, assessment results, patient’s progress, etc.
• Make appropriate recommendations based on patient assessment.

Key Requirements:

• Degree in Life Sciences or a related health‑science field (or equivalent).
• Prior patient‑facing experience is an advantage but not mandatory.
• Proficient in Microsoft Office applications.
• Able to communicate effectively in English; ability to communicate with diverse linguistic groups (e.g. Chinese, Malay, Hokkien, Teochew, Cantonese) is advantageous
• Strong interpersonal and communication skills.
• Motivated, patient‑centric, and able to engage various stakeholders (patients, caregivers, healthcare professionals).
• Able to work independently with initiative.
• Comfortable with web‑based tools and communication applications (e.g., WhatsApp, FormSG).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Relative-smooth-optimization-theory%29/32393-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

Responsibilities:

•        Provides assistance to the research team

•        Screens and recruits suitable patients toparticipate in the research project

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

•        Collects data from patients' medical records andresearch statistics

•        Helps document adverse events / reactions thatarise

•        Performs phlebotomy and venepuncture whenrequired

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 inMS Word to

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung (R1103704)

Company Reg. No. 199601303W

EA Licence No. 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Medicine%29/32404-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is inviting applications for a Research Assistant position in the Department of Medicine at the Yong Loo Lin School of Medicine. The selected candidate will join a team of scientists led by Research Assistant Professor Koh Cho Yeow at the Cardiovascular Research Institute (CVRI). CVRI is committed to addressing cardiovascular diseases through laboratory-based research, clinical studies, clinical trials, health services research, as well as prevention and epidemiology research. We also collaborate with international centers on multinational, multi-center basic and clinical trials. Additionally, we engage in outcomes-related research to establish standards for evidence-based best medical practices in Singapore.

Research Assistant Responsibilities: The Research Assistant will be responsible for studying the mechanism of action, pharmacodynamics, and pharmacokinetics of peptides designed in our laboratory for treating cardiovascular diseases. Additional duties include supporting other collaborative projects and managing related animal and laboratory safety tasks under the supervision of the principal investigator and research fellows.

Main Duties and Responsibilities

Main Duties:

• Design, synthesis and purification of bioactive peptides and proteins.
• In vitro and cell-based assays for functional characterizations of peptides and proteins.
• Prepare and execute surgical protocols involving animals (rodents and rabbits).
• Study the molecular mechanisms behind the pharmacological effects of peptides using animal tissues and cells.
• Supervise and mentor undergraduate students as appropriate.
• Collaborate with colleagues on various projects.
• Present scientific work at seminars and conferences, and draft scientific articles.
• Share responsibilities for laboratory housekeeping and maintenance.
• Ensure safety in the laboratory in collaboration with others.
• Perform additional duties as required to ensure the efficient and smooth operation of the group.

Qualifications

• A master's degree or equivalent in a relevant field of study, or soon to be conferred.
• Familiarity and hands-on experience with peptide design, synthesis, and purification.
• Proficient in basic molecular biology techniques and bioinformatics, including transcriptomic and metabolomic analyses.
• Experience in culturing cardiomyocytes, endothelial cells, fibroblasts, and vascular smooth muscle cells is desirable.
• A good team player who is independent, self-driven, and possesses strong interpersonal skills.
• Willingness to explore new frontiers and learn with a positive attitude.
• An intention to pursue PhD study in the near future.
• Strong computer skills for data analysis and organization.

Applications should include a full curriculum vitae and the names and contact information of three referees. We regret that only shortlisted candidates will be notified.