77 information-security "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions at University of Nottingham
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This project is an exciting opportunity to undertake industrially linked research in partnership with the Manufacturing Technology Centre (MTC). It is based within the Advanced Materials Research
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
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studentship (UK nationals only) Tax-free stipend: £25,000/year Full home tuition fees paid £2,000/year for consumables and travel MTC funding requires passing security checks prior to starting Project aim
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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conventional mechanical power offtakes. Reducing the size and weight of these systems, while boosting power extraction is important to continuing to improve the efficiency of aeroengines This project is
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of high power electrical systems, and also conventional mechanical power offtakes. Reducing the size and weight of these systems, while boosting power extraction is important to continuing to improve
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opportunity is based within the Resilience Engineering Research Group at Faculty of Engineering which conducts cutting edge research into developing modelling techniques to predict ways of improving the design
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect
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-transforming field of Artificial Intelligence, commencing 1st October 2026. Each studentship is funded for 42 months and includes a UKRI-rate annual tax‑free stipend to cover living costs (currently £21,805
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches