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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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, 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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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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Positions Application Deadline 16 Feb 2026 - 23:59 (Europe/London) Country United Kingdom Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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from: State-of-the-artlaboratories and world-class expertise in materials science, battery technologies, and sustainable manufacturing. Direct collaboration withLeaf Tech Ltd and otherkey industry
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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
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also lead to more indoor air pollution becoming trapped, or increasing indoor temperature. Respiratory infections also spread more easily in airtight buildings. The student will receive state-of-the-art