194 computer-security "https:" "https:" "https:" "https:" "UCL" Fellowship positions at Nanyang Technological University
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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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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 seeking a Research Fellow (RF) who is
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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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solutions. Through interdisciplinary programmes, living labs and large-scale testbeds, ERI@N drives impactful translational R&D with strong industry deployment. More details: https://www.ntu.edu.sg/erian We
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education, spearheading groundbreaking research, and delivering unparalleled professional services. For more details, please view https://www.ntu.edu.sg/cee We are looking for a Research Associate in
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . The Decarbonisation Programme “Singapore Max-Planck Alliance for the Sustainable
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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
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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning