227 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" research jobs at Nanyang Technological University
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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, please view https://www.ntu.edu.sg/newri . The Nanyang Environment and Water Research Institute (NEWRI) invites applications for the position of Research Fellow. Key Responsibilities: The candidate will be
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to deepen our understanding of the pathophysiology of neurodegeneration. For more details, please view https://dr.ntu.edu. sg/entities/person/Chuchu-Wang. Key Responsibilities: Isolate and purify EVs derived
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neurotransmitter release and synaptic organization, providing possible new strategies or therapies to neurodegenerative diseases. For more details, please view https://dr.ntu.edu. sg/entities/person/Chuchu-Wang. Key
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photocathodes for long-term hydrogen production, thermoelectric modules for solar waste heat harvesting, or perovskite-silicon devices for light-driven chemical synthesis. For more details, please view https
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, please view https://www.ntu.edu.sg/empower We are looking for an experienced Senior Research Fellow to work closely with a team of researchers, led by PI – Professor Victoria Leong, and to drive and
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian This joint research project is between Nanyang Technological University
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sustainability. For more details, please view https://www.ntu.edu.sg/ase The Organo-Mineral Group (OMG) within the Asian School of the Environment (ASE) is seeking a Research Assistant. This position is part of a
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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
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low