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Field
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This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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motivated students with a strong background in engineering or computer science. The ideal candidate will have: Strong programming and software skills. An awareness of machine learning theory and techniques
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or Python). Knowledge of the social identity approach and health psychology models are essential, and experience of network science or computational modelling is desirable.
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, Physics, Computer Science, or a closely related discipline. The ideal candidate will have: A strong background in radar, microwave engineering, signal processing, electromagnetics, machine learning
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-performance Olympic programme ahead of Los Angeles 2028 and beyond. Working as an embedded researcher within GB Taekwondo, you will explore current nutrition practice and the views of male and female athletes
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laboratory environment with some statistical methodology is desirable. How to apply Applications should be submitted via the Veterinary Medicine and Science PhD programme page. In place of a research proposal
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The University of Exeter’s Department of Computer Science invites applications for a funded PhD studentship to commence on 21 September 2026, or as soon as possible thereafter. For eligible students
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classification. The work will involve analytical studies, computer simulations, and finite element (FE) analysis, alongside experimental development and validation. Entry requirements The minimum entry requirement
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environments. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a master's (or international equivalent) in a relevant science or engineering related discipline We strongly recommend
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degree (or equivalent postgraduate qualification) in a relevant discipline, such as Biomedical Science, Biochemistry, Cell Biology, Molecular Biology, Pharmacology, Toxicology, Environmental Science