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targets. You will join the Computational Rare Disease Genomics Team, who collectively use computational genomics to understand mechanisms underlying rare human disease to enhance diagnosis and treatment. We
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Metabolism (OCDEM) on studies related to circadian rhythms in population health. This post is part of a large, interdisciplinary research programme, offering attractive opportunities to work across
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programme focused on integrating and analysing large-scale, multidimensional imaging datasets: MRI of heart, liver, kidney and brain to support early disease detection, improve mechanistic understanding, and
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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the established database, web systems, and frameworks for high-throughput data processing and integration. The role will also involve utilising high-performance computing clusters, storage systems, databases, and
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, development, and aspirations. Apply now to become part of our extraordinary legacy. As part of our programme to transform Oxford’s digital communications we are developing a brand new intranet. To support this
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and Prof Paul Shearing. The post is funded through a strategic research partnership and is fixed term for up to 2 years. To support the programme, the post holder will be required to carry out research
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working would be considered (minimum of 4 days, 30 hours per week, 0.8 FTE). About You To be considered for this position you should have a degree in a computing or scientific subject and experience in data
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Theology Philosophy, Politics and Economics Psychology, Philosophy and Linguistics Computer Science and Philosophy Maths and Philosophy Physics and Philosophy You will be responsible for providing exemplary
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Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans How to apply