77 machine-learning-phd "NATIONAL UNIVERSITY OF SINGAPORE" research jobs in Singapore
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Job Description • Develop and implement AI and machine learning algorithms for urban-scale building energy modeling • Integrate AI techniques with existing building energy simulation tools
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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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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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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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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design
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in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
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leadership, self-manage and motivated, with minimum supervision. • Data mining and analysis, machine learning skills. • Research experience on maritime risk assessment and big AIS data processing. • Good
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statistics and machine learning More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Industrial Systems Engineering and Management Employee Referral