142 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dip" research jobs at National University of Singapore
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to stressors in fish. The aim will be to integrate technology to develop the knowledge base for understanding stress resilience behaviours in Asian Seabass in farm conditions using laboratory model zebrafish and
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conferences; Organize, and assist technical workshops, networking events and conferences (local and overseas). Job Requirements Candidate must have a PhD degree in Mechanical Engineering, Fluid Dynamics
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repositories. Design and lead an independent research project under mentorship. Qualifications The applicant should have: a) Bachelor’s degree or master’s degree with strong computational, engineering
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. Draft research proposal together with the PI. Qualifications A well-qualified candidate should (1) be passionate about research; (2) have a PhD degree in Chemical Engineering, Chemistry, or a similar
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. Draft research proposal together with the PI. Qualifications A well-qualified candidate should (1) be passionate about research; (2) have a PhD degree in Chemical Engineering, Chemistry, or a similar
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open-source software, releasing data as open data, and promoting reproducible research. More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department
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biomaterials, dental stem cells, tissue engineering, 3D imaging, and image analysis. Responsibilities: Hydrogel and bioink formulation for cell culture and dental tissue engineering-related applications
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Engineering Department : Architecture Employee Referral Eligible: No Job requisition ID : 31039 Apply now
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Job Description Job Alerts Link Apply now Job Title: Research Fellow in Energy Studies Institute (National Energy System Modelling) Posting Start Date: 25/11/2025 Job Description: Energy Studies Institute The Energy Studies Institute (ESI) is a research institute at the National University of...
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Intelligence, Machine Learning, Biomedical Engineering, Data Science, or a related field. • Strong background in AI, deep learning, and/or federated learning, supported by publications. • Demonstrable