553 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" positions at University of Sheffield
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methods and the potential to develop pioneering reconstruction and calibration techniques involving machine learning. The PhD will prepare equally well for a career in industry and academia. The candidate
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to £51,753 Work arrangement Full-time Duration 2 years Start date: 1 April 2026 Line manager Senior Research Fellow / Professor in Health Economics and Decision Science Direct reports None Our website https
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website Faculty of Science: https://sheffield.ac.uk/science/about For informal enquiries about this job, contact Angela Simonite, Faculty Executive Assistant at a.j.simonite@sheffield.ac.uk Next steps in
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includes full UK fees, tax-free stipend (2025/2026 stipend is £20,780), plus budget for travel and consumables. Enquiries cdtgreenindustrialfutures@hw.ac.uk Application Web Page https
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(pro-rota) Work arrangement Full-time Duration As soon as possible – 31/01/2027 Line manager Principal Investigator Direct reports Research Associate Our website https
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Biomedical Research Centre Our website http://sitran.org For informal enquiries about this job contact: Professor Christopher McDermott (Professor of Translational Neurology, NIHR Research
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of HIF on these. - Establish new methods/models to assess DNA damage and their consequences, in larvae or adults Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd
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packages with a willingness to learn specific IT packages should they become relevant to the role. Essential Application/interview/test Willingness to learn operating CCTV equipment including retrieval
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or above with at least 6.0 in each component, or equivalent. Please see this link for further information: https://www.sheffield.ac.uk/postgraduate/phd/apply/english-language How to apply Please complete
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of dark matter particles in the decay of the gluinos. The search will be performed using the full ATLAS Run-3 13.6 TeV proton-proton collision data. The student will gain expertise in machine learning and