114 parallel-programming-"Uppsala-University" Fellowship positions at Nanyang Technological University
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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be required to lead a project under a larger research programme between Singapore and China. The candidate should fulfill the following responsibilities: Design, perform, and optimize experiments with
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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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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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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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applications, plant-based bio-material applications, etc. We are looking to hire a Research Fellow. Key Responsibilities: The primary objective will be plan, monitor, and perform experiments within the scope
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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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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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model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy