129 computer-programmer-"https:"-"https:" Fellowship positions at Nanyang Technological University
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off-chain data integrity. Implement TEE-based off-chain computation for confidential transaction execution. Integrate blockchain with IoT devices, metering systems, and energy assets for real-time
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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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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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to improve population health through multidisciplinary and translational research to support interventions, policy and programmes; strengthen national capabilities through the integration of translational
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking to hire a research fellow (postdoc) to undertake a project to develop efficient AI and Machine
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students enrolled in the Master of Science in Blockchain programme, particularly those undertaking six-month capstone projects. Contribute to teaching, tutorials, or guest lectures in courses relevant
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research fellow will focus on foundation model-based world model development for embodied intelligence, and
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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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Publish research papers in top-tier journals and conferences Job Requirements: PhD degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published