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This fully-funded PhD offers a unique opportunity to drive that change. We are seeking a talented and motivated student to join a multidisciplinary team working at the intersection of biomedical
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information or questions about this PhD please contact nicola.love@ukhsa.gov.uk . To be considered for this PhD please send a copy of your CV and a personal statement up to 500 words explaining your suitability
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overseas. Training can be provided in computational fluid dynamics, machine learning, and nonlinear dynamics. These skills are highly valued across a wide range of industries. Recent data reveals that Fluid
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distinct imaging methods to yield a novel imaging method that combines the benefits of both. The aim of this project will be to develop a novel method for fusing the data obtained by x-ray imaging and MIS
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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Pioneer the future of discovery and innovation at The University of Manchester with a fully funded Bicentenary PhD Studentship in the Faculty of Biology, Medicine and Health. The University
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual
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Research at the LMB aims to understand the workings of complex systems, such as the immune system and the brain, and use this information to solve key problems in human health and disease
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for conference travel, and for data collection (e.g. survey, or survey experiment/s) for their PhD project. Candidates should have a Master degree (with Distinction, or Merit with a Distinction in the dissertation
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Funding Information This is a fully funded PhD studentship which covers tuition fees at either Home-fee or International-fee-rate and an annual maintenance stipend with UKRI rates (£20,780 for 2025/26