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, chemical engineering, mechanical engineering, physics, or related disciplines are encouraged to apply. Experience with thermodynamics, corrosion, computational modelling, or high-temperature materials is
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collaboration in time-critical tasks. By integrating foundation models like large language models (LLMs) with physically embodied agents (e.g., drones or vehicles), the research focuses on enabling adaptive
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academic achievement to mental and physical wellbeing. We are committed to progressing the diversity and inclusion agenda, for example; gender diversity in Science, Technology, Engineering and Mathematics
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and associated events, alongside the formation of a novel multi-physic digital twin to support future forensic identification of UAS fingerprint profiles. The main objectives are: 1. Identify, evaluate
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community. We welcome students and staff from all backgrounds from over 100 countries and support our staff and students to realise their full potential, from academic achievement to mental and physical
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-efficient research that prevents fatigue failures has pushed towards integrated computational materials engineering approaches that improve competitiveness. These approaches rely on physics-based models
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of first or second class UK honours degree or equivalent in a related discipline, science (chemistry/physics) or engineering. The ideal candidate should have some understanding in the area of materials
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of representative failure models for gear failures causes difficulties in their useful lifetime prediction. Critical operational parameters such as loading, speed and lubrication affect the physics of gear meshing
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models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the aforementioned different
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will have the option of indicating this in the equal opportunities form that is part of our online application process. We aim to award a number of studentships to applicants coming from