65 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" Fellowship positions at Nanyang Technological University
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quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
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: Masters/Ph.D. degree in Electrical/Computer Engineering, specialized in Power Systems/Renewable Energy Planning/Optimization Expertise in medium and low voltage network modelling, power-flow, and large
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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the future of automobile manufacturing. The Hyundai-NTU-A*STAR Corporate Lab invites applications for the position of Research Fellow. Key Responsibilities: Research & Development of advanced innovative
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and
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agricultural impacts, and guiding policies to enhance regional resilience to climate-driven natural hazards. Subsequent efforts focus on employing a physics-informed machine-learning model, tailored
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Responsibilities: Integrate and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk
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participate in seminars, workshops, and public engagement activities Job Requirements: Doctor of Philosophy in Communication, Psychology, Sociology, Human-Computer Interaction, or a related social science
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community