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relevant to particle physics and cosmology. The candidate will use formal tools descended from string theory and supergravity, to perform analytical and numerical calculations of observable quantities in new
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD studentship offers the chance to develop an ambitious research project at the interface of theory and
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efficient power electronics, clean energy generation and conversion, radically more powerful processors for artificial intelligence, electrification of transport and the explosion in space technology
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, civil, and materials engineering. We welcome applicants with a background in: Computer Science Aerospace Engineering Civil Engineering Physics If you have a keen interest in AI, data science, or
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evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual