280 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "P" "Dr" positions at University of Nottingham
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our Postgraduate Research Society (PGES) and our PGR Research Group Reps to enhance the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme
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Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career
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project and funded by the NIHR MindTech MedTech Co-operative. You will work directly with the Principal Investigators, Dr Esther Loseto-Gerritzen and Dr Magdalena Opazo Breton, and co-investigator Dr Ben
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. Senior Project Manager – ORBIT Programme (NIHR i4i) Full-time, 36.25 hours per week | Fixed term until 31
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Dr Luisa Ciano, Dr Anca Pordea and Dr Rob Holland Application deadline: 07/04/2026 Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD
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the research environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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world-class training programme combining research-led innovation with real-world industry application. Students will receive high-level entrepreneurial training provided by Haydn Green Institute, bespoke
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holder will be based in the Plant and Crop Science Division (Sutton Bonington Campus, University of Nottingham, UK) and will work under the supervision of Dr Almudena Ortiz-Urquiza, Dr Sina Fischer, and
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through