558 machine-learning "https:" "https:" "https:" "https:" "https:" "Cardiff University" uni jobs 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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availability. Line manager Cleaning Shift Supervisor. Our website http://www.sheffield.ac.uk/efm For informal enquiries about this job contact Campus Services Administration on fmhub@sheffield.ac.uk Next steps
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gain interdisciplinary expertise while contributing to the group’s ongoing efforts to advance the understanding of solar plasma dynamics. https://www.sheffield.ac.uk/postgradapplication/ Funding Notes
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Senar, an expert on biological invasions, at the Museum of Natural Sciences in Barcelona, Spain. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying
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- how do we efficiently identify these growing black holes and measure their properties? This project will focus on that key question, with students learning how to mine the vast new data resource that is
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Further Information Grade 5 Salary £27,319-£31,236 (potential to progress to £33,951) Work arrangement Full-time Line manager Executive Assistant to Head of School Direct reports n/a Our website https
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concern. According to the World Health Organization (https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance), bacterial AMR alone was directly responsible for 1.27 million global deaths
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microscopy and scRNA-seq. The long-term goal of this project is to improve regenerative medicine approaches for patients. References http://www.roehllab.org/People.html View DetailsEmail EnquiryApply Online
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/05/2026 - 30/11/2027 Line manager Senior Lecturer in Fuels and Combustion Direct reports None Our website https://sheffield.ac.uk/mac For informal enquiries about this job contact Dr Ruoyang Yuan
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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