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of Sport, Exercise, and Nutrition Education – [email protected] This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: Athletes, coaches
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within the horizon scanning and foresight space to inform policy and decision-making. It is expected to include a range of research methods and the development of frameworks or tools to support adoption
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of video and low-cost sensor technologies to capture subtle movement patterns, creating a rich dataset for AI-driven analysis. Machine learning, deep learning, computer vision and multimodal AI methods will
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. The PhD candidate, funded by the UKHSA, will work with the IID3 study team and the UKHSA using study data. The aim is to understand how laboratory methods can affect the detection of pathogens and how
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studied intensively because of their importance in many natural phenomena and use in numerous applications. Embarking on a groundbreaking PhD journey, this research endeavours to revolutionize the landscape
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molecules to cross. However, this method does not overcome the mucus barrier. This project will investigate which mechanical stimulus, delivered actively and under control, best moves a drug across the
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of large numbers of atoms, coarse-graining approaches seek to reduce of the number of degrees of freedom in a material model, thereby reducing computational costs and the environmental impact while
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heterostructures for functional quantum devices. The candidate will receive a broad training on computational materials modelling and gain experience with cutting edge quantum transport simulation methods, conduct a
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compared with conventional purely synthetic methods, this biocatalytic route was found to be more sustainable, as evidenced by calculations of the various Green Chemistry metrics. This project aims to extend
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demanding mechanical property specifications have placed the steel industry under significant pressure to modernise its production methods. The UK steel industry is transitioning to using more, and