105 big-data-and-machine-learning-phd Fellowship positions at University of Nottingham in Uk
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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major component in electrical machine design or analysis. More information is available on the Role Profile below. What we Offer Our full list of our benefits can be found here . What Next To apply
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subject area, with a major component in electrical machine design or analysis. More information is available on the Role Profile below. What we Offer Our full list of our benefits can be found here . What
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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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the applications of Machine Learning. Dr. Anthony Bellotti is Professor in the Department of Computer Science at UNNC. He received his PhD in machine learning from Royal Holloway, University of London
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purposes. We are looking for a confident, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning, data sciences, or closely related discipline. OR near to completion of a
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their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis. You will be expected
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm
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The Rights Lab at the University of Nottingham is seeking a team member to join a large project that is analysing the role of religion and faith in anti-trafficking and anti-slavery work globally
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theoretical areas including statistical physics, condensed matter theory, computational physics, quantum information, and machine learning. We seek motivated, skilled and highly independent researchers