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AI-based diagnostics for fleet-based condition monitoring of electric vehicle motors using machine learning frameworks (S3.5-ELE-Panagiotou) School of Electrical and Electronic Engineering PhD
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http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply/applying Funding Notes First class or upper second 2(i) in
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh) School of Mathematical and Physical Sciences PhD Research
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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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results is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Application deadline: February 17 2026 Interviews
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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We have an opportunity for a 12-month fixed term maternity cover Lecturer in Biomedical Science (Learning, Teaching & Scholarship Track) post in the School of Medicine, Dentistry & Nursing. You will
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University of the Arts London, London College of Communication; | London, England | United Kingdom | 2 months ago
The opportunity Join University of the Arts London (UAL) and play a vital role in shaping, supporting and coordinating Digital Learning activities within London College of Communication (LCC) and
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The University of Manchester The University is a global institution known for innovation and world firsts, with 25 Nobel Prize winners. The computer revolution started here in 1948 when a machine
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filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application