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Field
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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a relevant subject (physics, mathematics, engineering, computer science, or related subject) Proficiency in English (both oral and written) A strong background in computer science, artificial
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NERC. Person Specification We seek an enthusiastic individual with a degree in geoscience, physical sciences, or computer science. Numerical literacy and experience with coding tools (Matlab or Python
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme
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our understanding of the roles and importance of lysosome regulation in stress resistance and ageing, identifying novel roles played by PrLPs and lysosomes in the ageing process and in anti-ageing
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with the Department of Statistics at University of Warwick, Department of Mathematical Sciences at Durham University, and School of Mathematics, Statistics & Physics at Newcastle University. You will
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in the study of problems in quantum many-body physics through the lens of quantum information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a
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associated numerical methods and AI, will be used with High Performance Computing (HPC) to improve understanding of key flow physics and inform future HPT design. Skills and Experience Required: Applicants
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an online admissions application, via the admissions portal by midnight (23:59 GMT), 10th November 2025. On the ‘Choosing a programme’ page, please select Wolfson SPaRC Research MPhil/PhD (Full-time). More
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of Computer Science and Engineering) & Dr. Ellie Jameson (School of Natural Sciences) Requirements: Applicants should hold at least a 2:1 degree (or equivalent) in engineering, physics, chemistry, materials science