507 engineering-computation-"https:"-"https:"-"https:"-"https:"-"Univ" PhD positions in United Kingdom
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or computer science is desirable but not required. An interest in interdisciplinary communication and engagement as well as an understanding of how AI is currently deployed in science is welcomed but not essential.
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apply a broad range of research methods including advanced statistical methods, computational modelling and experimental design, with the aim of generating policy-relevant evidence. The student will work
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complexity and surface roughness, using computational methods like physical optics and the discrete dipole approximation. Supervisors Entry requirements Applications are invited from individuals with a
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‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: · Search for the ‘Course Title’ using the programme code: 8315F · Research Area: leave blank
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expected to have a first or upper second class level degree (or equivalent) in a relevant subject (e.g. sports science, kinesiology, biomechanics, engineering, physiology, human biology, psychology, zoology
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motivated and ambitious PhD candidate skilled in genetic epidemiology, biostatistics, mathematics computational biology or related discipline to contribute to the “Hereditary & Early onset breast cancer
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International tuition fees and provides a UKRI-level stipend (£21,383 per annum, 2026/27) for up to four years (full-time or part-time). The PhD will be based in the Management programme at the University
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This studentship offers a rare and exciting opportunity to undertake applied research within an elite performance sport setting in partnership with Aquatics GB. Aligned with Aquatics GB’s vision to be at the forefront of supporting female performance, the project will explore how female...
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requirements for the programme, IELTS Academic score of 6.5 (with no less than 5.5 in each component test area) or equivalent. The studentship is supported for three years and include full Home or International
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? Projects may involve posthuman art practices, speculative design, critical data studies, generative AI, and ethical innovation, with opportunities to explore interdisciplinary links to computer science, law