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United Kingdom Application Deadline 23 Oct 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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within medical imaging and computational modelling technologies. Our objective is to facilitate research and teaching guided by clinical questions and is aimed at novelty, understanding of physiology and
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the delivery of the 3-year EPSRC Funded ‘Digitally Enabled Circular Healthcare Innovation’ (DECHI) research programme. The aim of the programme is to investigate how advances in digital technologies and digital
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cognitive neuroscience and imaging background, with an interest in connecting brain data to cognitive theories of compulsivity. You should also have a rich experience with neuroimaging methods and data
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the AHRC’s Catalyst programme, has evolved from, and is part of, a wider collaborative initiative between Hadrian’s Wall World Heritage Site and the Great Wall of China World Heritage Site, entitled ‘Wall
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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Mental Health Younger Generations Programme. You will work with a friendly, supportive, passionate, and hard-working group to undertake statistical analysis of quantitative data to test hypothesis
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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lead analyses of large-scale datasets, applying advanced computational and statistical methods to integrate multimodal data (including MRI, MEG, EEG, and genomic data). The postholder will work with a
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of computational biology, molecular biophysics, and cutting-edge analytical technologies. You’ll contribute to the development and application of computational methods to understand protein folding, structure, and