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start dates also possible) Email: david.duncan@nottingham.ac.uk About the project We are recruiting applicants for a fully funded PhD studentship in the School of Chemistry at the University of Nottingham
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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Applications are invited for a fully funded 4-year PhD studentship based in the Department of Biochemistry, University of Cambridge, and the new AstraZeneca Discovery Centre in Cambridge
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challenge models, vaccine development and evaluation, laboratory science at the interface with artificial intelligence, with superb opportunity for career progression in a stimulating academic environment at
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Multiple Sclerosis (MS) with a view to highlighting the implications for clinical practice. A recently completed PhD (PhD1) study, supervised by Dr Andrea Hollomotz and Professor Helen Ford at the University
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challenge models, vaccine development and evaluation, laboratory science at the interface with artificial intelligence, with superb opportunity for career progression in a stimulating academic environment at
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start dates: 1 October 2025 (Enrolment open from mid-September) Supervisors: Hari Arora (Biomedical Engineering), Richard Johnston (Materials) and Iain Whitaker (Medicine) Aligned programme of study: PhD
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of their student visa, healthcare surcharge and other costs of moving to the UK to do a PhD . The conditions for eligibility of home fees status are complex and you will need to seek advice if you have moved
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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-class/high 2:1 degree in civil or geotechnical engineering. A relevant master’s degree and/or employment experience will be an advantage. English language requirements: Applicants must meet the minimum