513 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UNIV"-"Univ" PhD positions in United Kingdom
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We are delighted to invite applications for a PhD studentship at the Cicely Saunders Institute, King’s College London as part of an NIHR funded programme - Improving Care for children with life
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impact on global environmental remediation strategies. You will join a team of researchers based in the School of Chemistry and in the Faculty of Engineering at the University of Nottingham and you will
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analysis (particularly advanced longitudinal methods) Using Geographical Information Systems (GIS) and related technology to assess environmental and social exposures Methods for missing data (e.g. multiple
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degree or a master’s (or international equivalent) in a relevant science, mathematics or engineering related discipline. Excellence in computational science and mathematics Programming skills in any
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The University of Exeter’s Department of Engineering is inviting applications for a PhD studentship fully funded by the department to commence on September 2026 or as soon as possible thereafter
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scintillators to X-rays and gamma rays using radioisotopes and X-ray generators. The student will be registered on the Physics PhD program; however, the nature of this research project is highly multi
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researchers based in the School of Chemistry and in the Faculty of Engineering at the University of Nottingham and you will work closely with our industrial partners at Oil Spill Response Ltd (OSRL) . OSRL has
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of RFC1 disease. In parallel, we will a gene perturbation analysis using the Crispr-I technology in genetically engineered iPSC-derived sensory neurons to further investigate the effect of GWA loci and to
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project management, paper preparation and thesis writing, along with career support. The student will also have access to lecture material taught in the Faculty of Science and Engineering, and specific
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from dairy housing environments, linking acoustic patterns to behavioural and health indicators, and developing computational models capable of detecting meaningful welfare-related signals. The project