179 computer-science Fellowship research jobs at Nanyang Technological University in Singapore
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Degree in Computer Science or Electrical Engineering from reputed universities, with at least 5 years research experience in related fields. Research and Comprehensive Skills: 1. Independent and self
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Research Fellow / Associate Research Fellow / Senior Analyst / Research Analyst (Military Studies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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. Analyse and evaluate the performance of proposed methods under a range of scenarios, including worst-case and average-case models. Job Requirements PhD in Mathematics, Computer Science, or a closely related
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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Engineering. Demonstrated experience in the area of design, methods, modelling, and Optimization for implementing robots and sensors, particularly in the automotive applications. Knowledge of engineering design
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Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of additive manufacturing technology through collaborative projects with leading industry partners, and with
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. This position is ideal for candidates excited about computational science, HPC, and building powerful tools to simulate complex geological processes. Key Responsibilities: Implement efficient and scalable