89 postdoc-parallel-computing Fellowship positions at Nanyang Technological University in computer-science
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, and mathematical data science, with an active programme at the interface of dynamical systems, machine learning, and quantum information. The position sits in the GOAL group (GeOmetry, dynAmics, and
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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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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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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via
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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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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University, ranking 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects. We are looking for a Research Fellow to pursue...
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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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Computer Science, Artificial Intelligence, Mathematics, Engineering, or a related field. Entry level candidates with demonstrated expertise in artificial intelligence (AI), machine learning, deep learning
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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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research in the area of analog/mixed-signal integrated circuit design. The role will focus on the development of analog in-memory computing macros for AI accelerators. Experience in tape-outs and industry