228 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "U.S" research jobs at 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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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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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
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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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, communication skills and mentoring to students working in the team. For more details, please view https://www.ntu.edu.sg/sbs . We are seeking a highly experienced senior scientist with expertise in structural
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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 Assistant. Key Responsibilities: Assisting in
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modeling. For more details, please view https://www.ntu.edu.sg/cee. We are looking for a Postdoctoral Researcher to advance innovative research in multiscale clay science and geotechnical engineering. The
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modeling. For more details, please view https://www.ntu.edu.sg/cee . We are seeking a Research Fellow to contribute to cutting-edge research in multiscale clay science and geotechnical engineering. The
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, collecting and analysing biomedical data, training machine learning models for bowel sound classification, and supporting prototype refinement and software integration for eventual commercialisation. Key
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, please view https://www.ntu.edu.sg/empower We are looking for an experienced Research Assistant to work closely with a team of researchers, led by PI – Professor Victoria Leong, and to drive and fulfill