973 parallel-and-distributed-computing-"UNIS"-"Meta" positions at Nanyang Technological University in Singapore
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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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institutions and expertise in secure distributed systems will be highly valued, enabling the candidate to bring transferable knowledge to address the security challenges in emerging blockchain ecosystems and
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We are seeking a Research Fellow to lead research on advanced Rydberg atom–based quantum sensing platforms at CQT, NTU. The role involves experimental work on electromagnetic signature detection, developing robust sensing protocols, and delivering solutions for real-world applications. The...
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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