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2025. Encouraged by the continuing success of modern machine learning (ML) techniques, researchers have become ambitious to develop ML solutions for challenging science and engineering problems with
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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beneficial strategies to mitigate any negative effects from beef production on the environment. Building from this developed understanding, the student would then look to work with farmers and advisors
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alternative materials, such as polysaccharide blends and chemically or enzymatically modified starches, to enhance paper strength and contribute to the development of more efficient and sustainable materials in
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skilled graduates through research projects that use industrial challenges as the catalyst for methodological advance. Work directly with leading industry partners Many of our PhD projects are developed and
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used. AI methods for generating regulatory hypotheses between genes, hormones and physical properties will also be developed. Applicants must have/be close to obtaining a PhD or MPhil in Computational
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candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
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of health economics researchers based at the University of Oxford’s Nuffield Department of Primary Care Health Sciences (NDPCHS). The successful candidate will help develop and deliver a portfolio of health
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safety? If so, this PhD opportunity is for you. The safe long-term storage of irradiated stainless steel fuel cladding is a major challenge in nuclear energy. This project will develop a novel, physics
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funding restrictions, this is only available to those eligible for UK fees. How to apply: All applications should be made online . Under programme name, select School of Sport Exercise and Health Sciences