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unique opportunity to work on advanced image analysis and image-driven modelling as part of a wider multi-disciplinary programme that includes mathematical modelling, cancer metabolomics and novel
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of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk This project is not funded, and we are seeking a student who can self-fund the PhD. Programme description: The overall theme
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
(5-ALA)-guided neurosurgery. We now aim to resolve infiltrative margin biology at high resolution using single cell and spatial transcriptomic methods, to identify actionable therapy targets which
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one of the world’s leading centres for additive manufacturing research and development, invites applications for a fully funded PhD programme. Metal additive manufacturing is transforming how complex
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aluminium windings in specific high-performance applications, the PhD work will be focused on developing novel motor topologies featuring CNT windings, including designing and testing of optimised prototypes
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, delivering high-resolution imaging and molecular Raman sensing to improve diagnosis of cancer and enable localised treatment. What we offer: The chance to work in a world-class multi-disciplinary team
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optimise their activity under conditions that mimic contaminated shorelines Compare enzymatic performance to existing remediation strategies You will receive extensive training across protein biochemistry
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smart, circular energy use, but there is a catch; existing EMS solutions are often hindered by high costs, inefficiencies, and complex, bulky components due to multi-stage power conversion and DC link
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characterise enzymes capable of degrading fuel components Evaluate synergistic enzyme mixtures and optimise their activity under conditions that mimic contaminated shorelines Compare enzymatic performance
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. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased