154 web-programmer-developer-"https:" "https:" "https:" "https:" Fellowship positions at National University of Singapore
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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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capacity around Water and Sanitation in low- and middle-income settings across Southeast Asia. This position offers a unique opportunity to contribute to field-based public health research and program
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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to develop novel hygroscopic, moisture activated heating materials that can absorb moisture from ambient air and convert it into thermal energy. The goal is to create a biocompatible, safe, and effective
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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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, Engineering, or a related area. The candidate must have excellent synthetic and engineering skills and good communication skills. The candidate sought to work on projects related to the development of synthetic
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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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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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projects. The job scope includes: Researching developments in a range of public policy areas Generating ideas for podcasts, and editing commentaries on various public policy topic for IPS Commons Attending
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will lead research in the development and application of within-host mathematical models to understand the long-term dynamics of natural- and vaccine-induced immunity to pathogens. You will be