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/Fellow who can deliver the research whilst helping to manage project delivery. Candidates must hold an appropriate social science degree level qualification and a PhD (or be about to obtain a PhD, which
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to) fundamental research in machine learning or statistics, algorithm design, the application of AI methods in science, healthcare, social sciences, or business. You should have a PhD or equivalent level of
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uncertainty quantification via conformal prediction. You’ll contribute to open-source projects, extending tools like MONAI for the computational pathology community, and support the data science team in
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School of Human Sciences Location: Greenwich Campus Salary: £38,249 to £44,128 plus £4228 London weighting Contract Type: Fixed Term - 30 October 2026 Release Date: Friday 11 July 2025 Closing
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. For candidates interested in research beyond the current post, there may be opportunities available to develop a programme towards a higher degree (PhD) in an associated topic. You will be working in a growing
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. You will also be responsible for implementing the model as a computer simulation and analysing it within a health-economics framework using standard computational techniques. You will also be
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, data science or mathematics OR a good Honours Degree and an appropriate professional qualification and/or membership PhD or active membership of an appropriate professional body is advantageous. Our
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become available in the Faculty of Health and Medical Sciences, in collaboration with the Surrey Institute for People-Centred Artificial Intelligence and the School of Mathematics at the University
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informing the representation of calving in large-scale ice-sheet models. The position will be based in the Department of Biological and Environmental Sciences at the University of Stirling (UK). The
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sponsorship under UK Visas and Immigration legislation. About you The ideal candidate will hold a PhD or equivalent experience in a quantitative field relevant to the research focus, such as economics, data