583 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "FORTH" positions at University of Sheffield
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Machine Learning Methods for Autonomous Robot Navigation, Localisation and Pipe Inspection School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova
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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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. While these chemotherapeutics have been hugely successful, many forms of cancer are intrinsically resistant to the chemotherapeutics and others can rapidly acquire resistance to these treatments. We have
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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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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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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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- 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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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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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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maintaining and developing existing products as well as supporting the implementation of new products, all of which support the day-to-day learning, teaching and employability activities of the University. You