235 parallel-and-distributed-computing research jobs at Nanyang Technological University
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duties as assigned by the Centre Director and Assistant Director Job Requirements: PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field Minimum 3 - 5 years
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Junior Researcher (Studies in Inter-Religious Relations in Plural Societies Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of 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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Researcher (Indonesia Programme) The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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computational simulations in the area of density functional theory (DFT). The role will focus on understanding and predicting the properties of novel functional materials, including surfaces and interfaces
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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, or a related field Strong interest in investment-related research High proficiency in large language models and machine-learning techniques Highly responsible, detail-oriented, and able to work
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theoretical computer science to develop algorithms and/or data structures, to further our understanding of what is possible in various computation models. The Research Associate/Research Fellow is also expected
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) who is highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving