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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
We are seeking an exceptional candidate for a fully funded PhD studentship investigating the role of sleep and circadian rhythms in elite athletic performance, co-funded by Brighton & Hove Albion
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an original programme of research working with ecologists Dr Ashley Lyons and Dr Anne Oxbrough in collaboration with Dr Steven Ewing at the RSPB Centre for Conservation Science. This PhD is part of the Cumbria
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the Computational Foundry, a world-class centre for computational research, part-funded by the European Regional Development Fund through Welsh Government. The brand-new building of the Computational Foundry provides
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on previous interventions of pneumonia. Who is this PhD suitable for? This PhD is suitable for a hard-working researcher with an interest in respiratory infections and health economics. Essential skills: A
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are invited for fully funded, three-year PhD Studentships within the Lincoln Institute for Rural and Coastal Health (LIRCH), the country’s first integrated, multidisciplinary research Institute dedicated
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of TB this country. This project is part of an exciting new Doctoral Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is
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. The Centre for Excellence in Coatings & Surface Eng at Nottingham www.nottingham.ac.uk/coatings is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership
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Deadline: 30 June 2025 A fully funded four-year PhD position is available to work on the project titled “Real-world quantum verification and benchmarking of noisy hardware”. This position is a
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Title’ using the programme code:8080F Research area: Statistics select ‘PhD Mathematics (Full Time)' as the programme of study You will then need to provide the following information in the ‘Further
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project