471 assistant-professor-computer-science "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Singapore
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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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14 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Chemistry Engineering Researcher Profile First Stage Researcher (R1
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7 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 5 Apr
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and Land Transport Authority of Singapore, and the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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to open-source codebases and reproducible research practices. Job Requirements: A completed PhD in Computer Science, Electrical Engineering, Robotics, Artificial Intelligence, or a closely related
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clinical pharmacology, systems pharmacology, to basic molecular and cellular pharmacology. More information on the department is available at http://medicine.nus.edu.sg/medphc/index.html. Purpose of the post
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Job Description Job Alerts Link Apply now Research Fellow, Computational Biologist (Life Sciences Institute, Neurobiology) University-Level Unit: Life Sciences Institute Faculty/Department-Level
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low