88 big-data-machine-learning-phd Fellowship positions at University of Nottingham in Uk
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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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Qualifications: PhD awarded within 3 years in business administration, computer science, information systems, data science, biomedical engineering, or a related discipline. Programming & Data Skills: Strong
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Other Researcher Profile
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Engineering » Electrical engineering Engineering » Other Researcher Profile Recognised Researcher (R2
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engineering and have or be in the process of obtaining a related PhD and a track record of successful research. They will be computer literate with strong communications skills and a proven ability to work as
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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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SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent or longitudinal data analyses is essential Experience of undertaking
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Biological sciences » Other Medical sciences » Other Researcher Profile Recognised Researcher (R2) Country
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expertise in a supportive and innovative environment. In this role, you will lead the computational strand of the project, applying molecular simulations, data analysis, and machine learning to uncover how