582 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Sheffield in United Kingdom
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reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models
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website https://sheffield.ac.uk/disability-dyslexia-support For informal enquiries about this job contact Mary Jacques (Office Coordinator), at m.jacques@sheffield.ac.uk Next steps in the recruitment
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application portal for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When completing your application, please specify Dr Marco Conte as the proposed supervisor and
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Cryogenic cooling of hollow conductors for highly power-dense electric machines (S3.5-AMR-Winter) Advanced Manufacturing Research Centre PhD Research Project Competition Funded Students Worldwide Dr
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-time Duration 24 months (start: 1st July 2026) Line manager Project Co-Lead Direct reports None Our website https://www.sheffield.ac.uk/mac For informal enquiries about this job contact Professor Pierre
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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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programmes to enable effective learning. You will also prepare and implement student assessments, ensuring effective moderation and timely feedback. Undertake academic tutor responsibilities for undergraduate
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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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methods with theory. Funding Notes This project is for Self-funded students or students with external funding. References "https://sites.google.com/sheffield.ac.uk/nanoscalechemistrygroup/home
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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