987 parallel-and-distributed-computing-"UNIS"-"Meta"-"Humboldt-Stiftung-Foundation" positions at Nanyang Technological University
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research in artificial intelligence, machine learning system, edge computing. To produce research papers and reports as required by the funding body or for dissemination to the wider academic community
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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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Continental Automotive Singapore on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Work closely with Centre’s
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Programme team. In this multifaceted role, you will be responsible for student engagement and support services, programme reporting, and data analysis. This position requires a detail-oriented individual with
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requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing
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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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on emerging privacy-preserving techniques such as homomorphic encryption, secure multi-party computation and federate learning. Key Responsibilities: Conduct advanced research in the areas of privacy-preserving
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to the project. Job requirements: Master’s degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 1 year of relevant experience in computer vision, artificial intelligence
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and