103 web-programmer-developer-"https:"-"PhD-Jobs"-"https:" Fellowship positions at National University of Singapore
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scientific support for the PI and research team on projects related to mental health and resilience: Serve as Research Fellow for multiple research projects related to mental health and resilience Develop and
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) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell
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techniques will be favorable. Candidate should be working closely with PI to develop research ideas and themes, and also supervise younger PhD students or RA in the lab. Successful candidate will have the
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effects of urban greenery and develop a modelling platform to assess and optimize the cooling benefits of various types and configurations of urban greenery in Singapore Key Responsibilities • Conduct multi
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Innovation & Technology (iHealthtech) National University of Singapore (NUS) Advancing health through innovation, iHealthtech seeks to address clinical needs through the development of innovative disruptive
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (OR/EID/OEE) Posting Start Date: 17/07/2025 Job Description: Job Description The Signature Research Programme in Emerging
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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Senior Research Fellow to direct projects and develop methodologies to support CoSM’s leadership in healthcare emissions measurement and net zero planning. The postholder will oversee a small team and
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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Responsibilities Develop and implement Python‑based AI/ML models (e.g. LSTM or time‑series models) to predict long‑term properties of bioactive materials. Conduct independent testing on restorative and bioactive