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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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the direction of Dr Maslovskaya, you will be part of a large multi-institution team of survey data collection methods experts in the UK. You will analyse probability-based NatCen online panel data collected using
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. This cross-disciplinary centre will bring together academic expertise, technical specialists, and advanced computing capabilities to enable research at scale – from the processing of large, complex data sets
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innovation and increase business productivity by automating the construction of an enterprise-level Knowledge Management and discovery platform via the use of novel Generative AI, Large Language Models, and
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The post holder will support a research programme funded by the Shreeve Foundation investigating the causes of pancreatic cancer risk through the analysis of large-scale molecular and
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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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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
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record, international reputation Proven leadership qualities Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision
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record, international reputation Proven leadership qualities Gender and diversity competence Experience in designing and managing large research projects Enthusiasm for excellent teaching and supervision