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and research in several areas. These include, but are not limited to: Adversarial location and network interdiction models Adversarial machine learning attacks and defense (e.g., against Bayesian
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research capacity through the application of optimization methods; - apply innovative techniques to problems related to smart energy networks. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING
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-Informed Neural Networks (PINNs) and hybrid models that respect the physical laws governing the real-world system Applying Deep Reinforcement Learning (DRL) algorithms to optimize processes within simulation
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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 to
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will be conducted in close collaboration with research groups across the network working on resolution biology and drug discovery based on resolution pharmacology. The position also include internships
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influenced today’s widely used AI products. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Postdoctoral Fellow to lead research on neuromorphic circuits and systems. The role
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Fellow to support maritime decarbonization research, focused on the IMO Net-Zero Framework (NZF) and related regulatory and market developments. The role involves quantitative analysis, scenario
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interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and Distributed Systems group at the Department of Informatics (IFI
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more at https