227 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" research jobs at Nanyang Technological University in Singapore
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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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, 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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, 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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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To independently undertake research in data privacy, machine learning, and applied
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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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, 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
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Responsibilities: Conduct programming and software development for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations