211 high-performance-computing-postdoc Fellowship positions at Nanyang Technological University
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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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minimal signaling overhead. Simulation and Evaluation: Conduct simulations and evaluations to assess the performance of developed algorithms and techniques, using relevant metrics and benchmarks
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. Perform any other duties relevant to the research programme. Job Requirements: PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive
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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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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Our group is actively seeking a Research Fellow for a term of one year to conduct high quality research
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s
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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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development of next-generation computational tools for simulating particle-laden two-phase flows by integrating advanced Artificial Intelligence (AI) techniques with traditional computational fluid dynamics