541 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" uni jobs at University of Sheffield
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value Essential Application/Interview Ability to analyse and solve problems with an appreciation of longer- term implications Essential Interview Ability to learn new technologies and techniques, set
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you to apply. Please ensure that you reference the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Proven ability to quickly learn
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-cdt.ac.uk. For informal queries, reach out to Profesor Russell Goodall (r.goodall@sheffield.ac.uk) Apply for this project at The University of Sheffield here: https://www.sheffield.ac.uk/postgraduate/phd
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Overview The University’s vision is to be one of the best universities in the world, renowned for the excellence, impact, and distinctiveness both of its research and its research-led learning and
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to deliver business value Essential Application/Interview Ability to analyse and solve problems with an appreciation of longer- term implications Essential Application/Interview Ability to learn new
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Lecturer Direct reports Senior Clinical Lecturer Our website https://sheffield.ac.uk/sitran For informal enquiries about this job contact Dr James Alix, Senior Clinical Lecturer in Neurophysiology on j.alix
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Senior Finance Assistants Our website https://sheffield.ac.uk/finance For informal enquiries about this job contact c.i.palmer@sheffield.ac.uk Next steps in the recruitment process It is anticipated
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, Cambridge, Exeter and Queen's University Belfast and a large group of industrial partners. The research work will focus on developing transfer learning technology for PBSHM. Specifically, both kernel-based
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for postgraduate research in Chemistry: https://www.sheffield.ac.uk/postgraduate/phd/apply When applying, please name Dr Marco Conte as the proposed supervisor and include the project title in your research proposal
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et al. Scientific reports. 2021. https://doi.org/10.1038/s41598-021-99065-7. 2. Taylor DJ et al. Computers in Biology and Medicine. 2024. https://doi.org/10.1016/j.compbiomed.2024.108299 View