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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both Home and Overseas students. Please note that only Home fees will be covered - eligible
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View All Vacancies Engineering Location: UK Other Closing Date: Sunday 29 September 2024 Reference: ENG177 Supervisor: Dr Davide De Focatiis This is an exciting opportunity with full funding
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extraction of 3D positional information of discrete points within a specimen on time scales beyond that of current capabilities. These projection points may be tracked as the dynamic process is allowed
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provide the necessary environment, to develop research that delivers both academic excellence and maximum industrial impact. You will be part of the Loughborough Rolls-Royce University Technology Centre
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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Supervised by Rasa Remenyte-Prescott and Rundong (Derek) Yan (Resilience Engineering, Faculty of Engineering) Aim: To develop a mathematical modelling framework to assess and optimise offshore wind
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the current Manchester United FC recruitment framework(s), validate the subjective judgements of talent scouts and implement an internal scout development framework. This project will aim to answer
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of making batteries that is safer, more efficient and can help achieving better performance for electric vehicles and energy storage application? If so, perhaps this fully funded PhD studentship is available
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-observer variations. Current AI models use single modality inputs, failing to effectively integrate data from multiple sources due to their heterogeneity. This project aims to develop a novel solution for
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to several cardiovascular diseases including stroke, myocardial infarction, and sudden cardiac death. The causes of AF are not fully understood but relate to disruptions in the electrical impulses