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true team player, customer focused and provide support across the University. They will have experience in the use of large data systems and a good understanding of data structures. They will be able
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emulators. All work is theoretical/computer based and no real-world deployment of SRM techniques is included. Focus will be on understanding climate thresholds that may lead to large-scale dieback
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access to expertly curated, longitudinal, multimodal cancer datasets and AI models for researchers in industry and academic institutions. The data and the development of AI within the platform, in
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institutional priorities, strengthens the sustainability of large-scale investments, enhances research performance, and leads coordination across the research development service. The post also supports strategic
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opportunities, which together make us a large and successful community, which is a key hub of activity within our region and nationally. Whether you are at the very start, middle or end of your career, there is
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Information Services Location: Newport, Shropshire TF10 8NB Salary: £35,116 to £38,249 per annum The point of entry will be dependent upon relevant qualifications and experience Post Type: Full
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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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Associate with mathematical modelling and numerical/data analysis background to join our food system resilience project, led by University of Reading, joining a large interdisciplinary team with an excellent
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will involve two key components. First, the computational analysis of TCR repertoires generated from the blood of large numbers of cancer cases and matched controls. Second, the role will involve
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high fidelity models of ice crystal icing accretion and shedding, verifying tools using the wealth of unique experimental validation data generated by researchers at the Oxford Thermofluids Institute