341 parallel-computing-numerical-methods uni jobs at University of Oxford in United Kingdom
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University-led flagship initiative that is driving innovation-led growth across Oxfordshire. The postholder will lead the planning and delivery of a strategic programme of high-profile events that elevate the
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fast-paced environment that will suit an experienced project officer. The role provides opportunities to influence the future direction of the University’s donor stewardship programme and to drive
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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—an internationally recognised leader in vaccinology—at the Oxford Vaccine Group and the Pandemic Sciences Institute. You will lead a cutting-edge research programme focused on mucosal vaccine technologies targeting
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This post could be considered as a secondment opportunity. Are you an experienced HR professional with a passion for and experience in employee relations? The Gardens, Libraries and Museums (GLAM) HR Shared Service team is looking for an experienced Employee Relations Manager to join the...
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This post could be considered as a secondment opportunity. About the role Are you interested in digital collections, policy management, and outreach and training? Then the post of Digital Preservation Officer could be for you! Based within the Open Scholarship team at the Bodleian Libraries,...
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We are seeking a highly motivated Postdoctoral Research Scientist to join a collaborative, translational research programme aimed at developing the first personalised mRNA vaccine
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delivery. Working closely with service stream owners, programme managers, and senior stakeholders, you will drive continual service improvement, support supplier engagement, and contribute to IT governance
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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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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