316 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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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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processes. Job Requirements: Essential Qualifications and Experience • PhD in Games Studies, Computer Science, Interactive Media, Digital Arts, Education, Psychology, Media Studies, or a closely related
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papers based on research findings. Developing research proposals related to multi-agent systems and their applications. Job Requirements: PhD degree in Computer Science, Artificial Intelligence, or related
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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The research group of Associate Professor Liu Xiaogang is seeking a motivated Research Fellow with expertise in computational chemistry and wet-lab experimentation. This position offers
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an emphasis on technology, data science and the humanities. A Research Fellow/Senior Research Fellow is required to coordinate concurrent research projects in the laboratory of Assistant Professor Lim Jue Tao
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a unique department at NTU Singapore, advancing cutting-edge education and research in diverse areas of chemistry, chemical
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Location_ONB: Kent Ridge Campus Posting Start Date: 31/10/2025 Job Description The successful candidate will work with Associate Professor Duane Loh on conducting research at the interface of Machine Learning