88 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham in Uk
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Chemistry » Other Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
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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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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Management, Information Systems, Organizational Behavior, Entrepreneurship, Marketing
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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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. Candidates should hold a PhD (or equivalent) in Chemistry, Chemical Engineering, Materials Engineering, or a closely related field from a research-led university. Advanced knowledge in bitumen chemist is
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: Undertake the development of new flow chemistry methodologies as directed by Professor Mike George. Prepare high quality supporting information for publications resulting from the project. Candidates must
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: Undertake the development of new flow chemistry methodologies as directed by Professor Mike George. Prepare high quality supporting information for publications resulting from the project. Candidates must
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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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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret