545 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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extreme threats to national security. AWE has pioneered advancements in areas including physics, engineering, materials science, and high-performance computing. Together we’ve helped shape the UK’s
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We have an exciting opportunity for a Research Assistant to contribute to multiple veterinary parasitology projects, working with Professor James Cotton and Dr Roz Laing. The successful candidate
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systems across a wide range of applications, including e-mobility, automotive, aerospace, rail, marine and stationary storage. For further details please refer to the Group webpage or contact Professor
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on Sunday 01 March 2026 Reference: PHD-DM-01 Project Title: Optimum strategies for UK beef producers to achieve net zero. Primary supervisor: Dr Daniel May Co supervisors: Professor Karl Brehendt
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in recycling, bioremediation and green chemistry. Candidate enzymes are mechanistically investigated, structurally characterised and subsequently improved by directed evolution. Ultrahigh-throughput
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Project Link: Image guided intervention supported with mixed reality | Project Opportunities | PhD | University of Leeds Eligibility: UK and International Funding: School of Computer Science
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-edge computational project at the intersection of AI, physics-based simulation, and materials science. Your key objectives will be to: Build a Multi-Scale Training Dataset - You will use 3D X-ray
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Principal supervisors: Martin Orrell, School of Medicine, Professor – M.Orrell@nottingham.ac.uk Magdalena Opazo B., School of Medicine, Senior Research Fellow – Magdalena.Opazo@nottingham.ac.uk
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International tuition fees and provides a UKRI-level stipend (£21,383 per annum, 2026/27) for up to four years (full-time or part-time). The PhD will be based in the Management programme at the University
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receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26) and tuition fees will be paid. We expect the stipend to increase each year. Computational haemodynamic modelling provides a