117 parallel-programming-"Multiple"-"Simons-Foundation" 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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research Enthusiasm for applying advanced mathematical tools and techniques to applications in biophysics Good written and oral communication skills Experience in the use of programming languages and
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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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. 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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, Computer Science, or related field, with strong background in machine learning Publications in top-tier journals and/or conference presentations as first author Proficiency in AI programming languages
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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 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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ability to work independently and facilitate projects with minimal supervision. Able to contribute to Journal/Conference papers with good presentation skills. Able to plan and organize well and adhere
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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