466 programming-"https:"-"Inserm"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs in Singapore
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invites applications for Research Assistant in the Infectious Diseases Translational Research Program (IDTRP), Yong Loo Lin School of Medicine. The Infectious Diseases Translational Research Program (IDTRP
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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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 evaluation, while
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to pursue an academic career, as the programme is specifically designed to support such aspirations. Preference will be accorded to candidates aspiring to pursue an academic career, as the programme is
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supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. This position is part of an exciting research programme aimed at advancing the multi-robotic wire-arc directed
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Title: Young Tembusu Programme Phase 2: Scaling a Research-Informed Model of Enrichment Programme for Holistic Youth Development Project Introduction: The Young Tembusu Programme (YTP) Phase 2 is a
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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Signature Research Programme in Emerging Infectious Diseases ("EID") aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection biology
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems