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will involve a combination of longitudinal, descriptive, and cross-sectional studies to better understand the bidirectional influence of training and match-demands of tier 3 football during
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an objective and consistent method of measurement. The implication of this is a mechanism through which customer and supplier can agree on model quality. Furthermore, the outcome will inform the development
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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and use the results to iteratively refine devices and models. You should have the ambition to publish you work in top ranked international journals and at leading conferences and have a dedication to
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and regenerative medicine. This project will focus on developing patient-derived stem cell models to advance autologous cell replacement therapy for diabetes. The PhD will involve: Generating patient
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-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
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to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers
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for analysing complex materials, structures and model validation. The DIC community has developed guidelines to ensure robust measurements, continually advancing standards through ongoing challenges. In
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coefficient of thermal expansion (CTE) mismatch than W/steel, the manufacturing readiness level remains low. Solid-state welding without interlayers may be viable due to closer CTE match, but their application
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centres on developing predictive frameworks that accurately forecast match outcomes and league positioning through sophisticated data analysis. The candidate will implement machine learning techniques