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manageability, patient safety, and reduce waiting lists. You will need to demonstrate you: Meet the academic requirements for a PhD offer from the University of Reading. Have a MSc degree in Computer Science or a
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covers all university tuition fees (at UK level) and an annual tax-free stipend. International students are also eligible to apply, but they will need to find other funding sources to cover the difference
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The University of Exeter’s Department of Public Health and Sport Science is inviting applications for a PhD studentship funded by PVolve and University of Exeter to commence on 22nd September 2025
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of AI in the analysis part of a lattice QCD calculation by using techniques such as Gaussian Processes. The University has recently invested just over £1 million in a new High Performance Computing (HPC
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, Aerospace and Civil Engineering at the University of Sheffield, and embark on a transformative PhD project funded by John Crane Ltd, a global leader in engineering technology. What’s the Project About
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of Digital Twins being used to assess NBS. This project builds on the Newcastle University team’s decades of expertise in modelling the circulation of open oceans, shelf seas and estuaries. The Digital Twin
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This 4-year PhD programme is fully funded for home students; the successful candidates will receive a tax free stipend based on the UKVI rate (£20,780 for 2025/26) and tuition fees will be paid. The start date is October 2025. Are you passionate about applying computational science to real-world...
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PhD Studentship: Sleep and Circadian Rhythms in Elite Sport (Co-funded by Brighton & Hove Albion FC)
Sport and Exercise Psychology. Professor Florian Pfab who is Head of Medicine at Brighton and Hove Albion Football Club and Professor at Technical University of Munich. Dr Daniel Hudson who is the Men’s
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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This PhD opportunity at Cranfield University invites ambitious candidates to explore the frontier of energy-efficient intelligent systems by embedding AI into low-power, long-life hardware platforms