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target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing on the glioblastoma infiltrative
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at the tumour margin represent a key target for earlier and more effective therapeutic intervention. This PhD project will develop advanced MRI analysis methods and imaging-driven predictive models focusing
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their performance relative to current pragmatic industrial approaches. The successful candidate will spend at least 3 months during the PhD based within Siemens Digital Industry Software, receiving joint supervision
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Start date: 1st October 2026 The University of Nottingham is seeking an outstanding and highly motivated candidate for a fully funded PhD studentship focused on the development of next‑generation
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Dr Luisa Ciano, Dr Anca Pordea and Dr Rob Holland Application deadline: 07/04/2026 Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD
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Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD researcher to join a multidisciplinary project developing environmentally friendly
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electromagnetic, mechanical and thermal performance is yet to be developed. The project will motivate the PhD student to revolutionise electrical machine design and development based on programmable 3D electrical
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PhD Studentship: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin
PhD Studentship Advert Title: Preclinical modelling and therapeutic targeting of glioblastoma infiltrative margin Supervisors: Prof Ruman Rahman, Dr Stuart Smith, Dr Phoebe McCrorie Project Overview
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The Faculty of Science AI Doctoral Training Centre (AI DTC ) invites applications from Home students for fully-funded PhD studentships to carry out multidisciplinary research in the world
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This studentship is open to UK students only The School of Chemistry at the University of Nottingham welcomes PhD applications in Theoretical and Computational Chemistry. The studentship is fully