464 computer-programmer-"Multiple"-"U"-"O.P" "University of Exeter" Postdoctoral positions in United Kingdom
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About us The Department of Informatics is seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics
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leaders, clinicians, patients and other key stakeholders. The University of Exeter is one of nine institutional members of the prestigious National Institute for Health Research School for Public Health
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accessibility, flexibility, scalability, and scientific rigour. Funded by STFC for five years, SAMS brings together researchers from the Universities of Exeter, Warwick, Cambridge, and Sheffield. The codes will
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Institute (University of Exeter), in close collaboration with the research group of Shobbir Hussain at the University of Bath, with the possibility of visiting their lab for a short period of time to learn
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programmes: Chemistry; Physics; Electrical, Electronic & Computer Engineering; Chemical Engineering; Mechanical Engineering and Brewing & Distilling. In the 2019 National Student Survey Heriot-Watt University
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Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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Title: Postdoctoral researcher in computational imaging, via applications in astronomy and medicine. Grade and Salary: Grade 7 (£37,694 - £46,049) FTE and working pattern: Full-time (35 hours per
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, Economy and Policy Institute (LEEP), University of Exeter Business School. This post will be jointly supervised by the project co-lead James Clark Professor of medieval history in the Department
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, Economy and Policy Institute (LEEP), University of Exeter Business School. This post will be jointly supervised by the project co-lead Henry French, Professor of early modern history in the Department
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles