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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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, assessing system performance, stability, and scalability for industrial applications. Candidate Requirements Applicants should hold a First-class (or equivalent) degree in Mechanical, Automotive, Powertrain
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, interpretable models from experimental and operational data. The core goal is to balance model accuracy with computational efficiency, while meeting the needs of experimental validation. The framework will
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The aim is to discover and test candidate molecular mechanisms underlying central nervous system (CNS) (ie spinal cord and brain) regeneration. The human CNS does not regenerate after injury
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experts in the field. We seek an enthusiastic and talented candidate with a Master’s degree (or equivalent) in Physics or a related discipline. A solid background in quantum mechanics, fluid mechanics
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will uncover the interfacial solvation structure, validated through comparison between computed and experimental sum-frequency vibrational spectroscopies, as well as the mechanism of chemical
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architected materials or metamaterials (MTM) that can undergo targeted non-linear response. You will develop a computational framework that can reveal novel Multiphysics (thermo-mechanical) MTM solutions
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project aims to develop state-of-the-art computational methods to optimise the quality of doubly curved shell structures manufactured from recycled, short-fibre composites. A particular novelty of the
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the central challenge hindering this vision: the fundamental incompatibility between text-native LLMs and the operational reality of computer networks. Directly applying LLMs is impeded by three core technical
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, the mechanisms by which observed differences in cancer care experience (and wider factors), lead to treatment inequalities, will be explored through a series of interviews, conducted with patients, carers and