73 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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About the role - The role-holder will be proficient at quantitative analyses and be support the wider inter-disciplinary research team in analysing quantitative data captured from a variety of
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contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing
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technologies and make a key contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions
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We are recruiting a Research Fellow for the Hydrogen Research Group currently consisting of 5 academics, 9 research fellows and 15 PhD students. The successful applicant will join a
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to modern slavery in conflict settings. This attempt requires a large, interdisciplinary team working within a cross-cutting framework to connect vast amounts of data and answer many fundamental questions