204 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" Fellowship research jobs at Nanyang Technological University
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research fellow to work on the development of Physics-informed neural networks (PINNs
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advance interdisciplinary research in games-related domains. The role involves driving high-impact research, securing external funding, supervising junior researchers and students, and fostering
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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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The NTU Centre in Computational Technologies for Finance (CCTF) is an inter-collegiate and pan-university initiative, managed by the Graduate College (GC), with support from College of Computing 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 We are seeking a Research Fellow to lead the development 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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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Senior Research Fellow
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, develop novel methodologies and systems, and ensure rigorous validation and dissemination of results. Secure external research funding and manage sponsored projects in collaboration with faculty 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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Fellow (RF) with an interest in computational biology. The RF will work on a project aiming to understand how to predict the microbial community under environmental pressure and use the insights to develop