91 professor-computer-"https:"-"https:"-"https:"-"https:"-"https:" Fellowship positions at National University of Singapore
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, and its implications on the society of the future. This is an exciting opportunity to join us as a Research Fellow under a new programme centered on the culture and politics of social media discussions
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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 strategic adoption of metal additive
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be possible. Qualifications PHD in Computer Science/Quantum Information with a strong record of publications and a few years of post-doctoral experience. More Information Location: Kent Ridge Campus
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 26/01/2026 Job Description The laboratory of Dr. Tang Hong-Wen within the Signature Research Programme in Cancer and Stem
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based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
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-established publication record and international scholarly visibility. Applicants must be senior scholars (tenured Associate Professors, Professors or equivalent) with extensive research experience and a strong
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to invite applications for the position of Senior Research Fellow / Research Fellow as part of a multidisciplinary research programme funded by the National Research Foundation (NRF) and the Singapore Food
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under the 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 developing generative AI tools
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the Department of Civil and Environmental Engineering. This position is part of an exciting research program advancing separation technologies (i.e., membrane and electrochemical) to solve pressing environmental
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multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial