227 education "NATIONAL UNIVERSITY OF SINGAPORE" Fellowship research jobs in Singapore
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Job Description The Global Asia Institute at the National University of Singapore invites applications for a postdoctoral research fellow position. The Institute is seeking scholars with strong
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About AIDF The Asian Institute of Digital Finance (AIDF) is a university-level institute in the National University of Singapore (NUS), jointly founded by The Monetary Authority of Singapore (MAS
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evaluation of center grant proposals and projects. About AM.NUS: The NUS Centre for Additive Manufacturing (AM.NUS) leverages the expertise and advanced capabilities of the National University of Singapore's
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the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and
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Job Description The Logistics Institute - Asia Pacific (TLI-AP) is collaboration between the National University of Singapore (NUS) and the Georgia Institute of Technology (Georgia Tech
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Job Description A Research Fellow position is open in the research group of A/P Wang Xinchao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS
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to obtain experimental data to train and validate computer simulations. Job Requirements • PhD degree in Chemical/Biochemical Engineering • Submitted PhD degree, pending conferment of degree can also be
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for healthcare and sustainable applications. • The Research Fellow will help to develop new living abiotic-biotic biohybrids, perform material characterization, and investigate the real-world applications. Job
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Overview RESEARCH FELLOWSHIPS AT THE LEE KONG CHIAN NATURAL HISTORY MUSEUM, FACULTY OF SCIENCE, NATIONAL UNIVERSITY OF SINGAPORE (1) Yang Chang Man Research Fellowship in Biodiversity (2) Leo Tan
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Job Description The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Fellow to develop AI-based models to forecast