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simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group. This project offers the opportunity to join a vibrant research group and
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in a degree, ideally at Masters level, in an Engineering subject, Physics, Mathematics, Computer Science or other quantitative background. Knowledge in fluid mechanics, ocean waves, numerical methods
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the thermomechanical response of energetic materials will be developed, building on the extensive capabilities within the Impact and Shock Mechanics Laboratory. There will be the possibility to explore novel modelling
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Project Link: Preclinical Evaluation of Spinal Therapies | Project Opportunities | PhD | University of Leeds Number of Positions: 1 Funding: School of Mechanical Engineering Studentship, in support
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the underlying mechanisms are, at what stages in disease progression they are protective or detrimental and whether there are shared mechanisms across diseases such as Alzheimer’s and Parkinson’s disease. The PhD
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heat transfer behaviour is known to depart from standard analytical correlations. Under the combined supervision of academics in mechanical engineering and computer science, you will consider the use
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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plasticity framework. Entry requirements: Essential Criteria: Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in Mechanical, Material, or Computer Engineering. A
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Trust. The successful candidate will work closely with the PI and a PhD student within a larger cross-disciplinary team to construct a quantitative computational model of carbonate biomineralisation
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underlying mechanisms. Why Join This Project? Work at the forefront of nutritional neuroscience gut-brain research, contributing to a growing field with real-world applications. Gain hands-on experience with