450 computer-science-intern-"https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Singapore
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SPMS is a School under NTU College of Science. Our School is organized into two divisions: the Division of Mathematical Sciences and the Division of Physics and Applied Physics. We are home to
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students within the AI4X program Contribute to research proposals, technical reports, and project deliverables Present research progress and findings in internal meetings and academic venues Job Requirements
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Application Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified. Closing Date Closing date for advertisements will be set to 14 calendar days
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effectively both independently and as part of a team Research Associate: • Master’s degree or equivalent experience in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious
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, Computer Science, or related field, with strong background in machine learning. Publications in top-tier journals and/or conference presentations as first author. Proficiency in AI programming languages
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insights from cutting-edge clinical and translational research. More information on the Department’s research portfolio may be obtained from https://medicine.nus.edu.sg/obgyn/. The Core Support Faculty will
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academia, industry, and national laboratories Job Requirements: PhD in Materials Science, Chemistry, Physics, Computer Science, or a closely related discipline. Strong experience with Density Functional
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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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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops