79 parallel-processing Postdoctoral research jobs at University of Oxford in United Kingdom
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at the University of Oxford. Although near-Ambient Pressure XPS has enabled operando measurements of surface chemical processes in recent years, it is limited to low pressures (~ mbar) and complex, dedicated
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to work. Application Process Applications for this vacancy are to be made online via www.recruit.ox.ac.uk and Vacancy ID 180710. You will be required to upload your curriculum vitae and a supporting
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knowledge in the discipline to work within established research programmes. You will have experience in either: modelling of permafrost processes and associated hydrological processes, modelling changes in
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to manage your own academic research and contribute intellectually to projects, as well as writing manuscripts and presenting research findings at scientific meetings. Application Process Applications
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postholder will undertake quantitative petrological research to investigate magma storage conditions and timescales of magmatic processes in the lead up to and during selected volcanic eruptions of target
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of disease. Application Process Applications for this vacancy are to be made online. You will be required to upload a covering letter with a supporting statement, CV and the details of two referees as part of
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language processing (large language models) to investigate the brain computations supporting planning in humans, and how this can go awry in psychosis. What We Offer As an employer, we genuinely care about our
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collaborations will also be forged. The successful applicant will work with researchers in Dr Oswal’s group as well as researchers across the wider BNDU to develop and lead the process of recruiting, safety
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discounts also includes free entry to the Botanic Gardens and University colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications
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experimental and computational approaches are employed to shine light into key biological processes during the life of parasitic flatworms. Large-scale sequencing datasets (‘omics’) are generated and analyzed