106 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at Nanyang Technological University
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, MRI, X-ray, pathological slides). Excellent programming, analytical, and research communication skills, with a track record of contributing to competitive research grant proposals. We regret that only
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and
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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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sustainability program. The successful candidate will support research and coordination efforts within a multidisciplinary sustainability program, focusing on life cycle assessment (LCA) to evaluate
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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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to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere to deadlines We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Science, Informatics or equivalent. Independent
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Schaeffler Hub for Advanced Research at NTU is a collaborative research center between Nanyang Technological University and Schaeffler Group. The Schaeffler SHARE program comprises a global research
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. Applicants must have proof of excellence in research. Applicants should aspire to develop successful academic career. Applicants are Singapore Citizens. Further information on the programme – including
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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written