499 computer-science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" Fellowship positions in United Kingdom
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We are seeking a highly motivated Research Assistant in Cancer Immunology to join a Cancer Research UK (CRUK)–funded research programme as a maternity cover, investigating antibody effector
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propose their own bespoke programme to conduct innovative research at the frontiers of Science and Engineering. Project proposals are invited across the full range of topics in the EPSRC research portfolio
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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well as with Thomas Sales at University College London on the EPSRC funded project Numerical Analysis Of Free Boundary Problems From Biology. The project considers the numerical analysis of Stefan-type problems
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apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in computer science or a closely related discipline. Applications from exceptional candidates who are close to
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About The Role The Senior Research Fellow will be required to develop and lead a research programme in the DCC that complements and builds on the existing research portfolio through the acquisition
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Research MPhil/PhD: Science (Full-time)’ programme via King’s Apply by 30th September 23:59 BST. Please provide the following information: Funding information: Please choose Option 5 ‘I am applying for a
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collaborative multidisciplinary research environment spanning: translational cancer biology clinical oncology and surgery molecular profiling and computational analysis The programme provides access
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different type of university. Over the years, we have grown to become the centre of a vibrant local and global community. Connect with us today . The Faculty of Science and Engineering is a young and dynamic
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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks