115 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" Postdoctoral positions at University of Oxford
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About the role This fixed term, non-renewable, one-year postdoctoral position will support continuing analysis of data from the new London English Corpus, which has been developed as part of
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, please contact Professor Keith Channon: keith.channon@cardiov.ox.ac.uk or cvm_personnel@cardiov.ox.ac.uk. For more information about working at the Department, see https://www.rdm.ox.ac.uk/ The University
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About the role The SalGo Team ( https://salgo.web.ox.ac.uk/ ) at the University of Oxford’s Department of Biology seeks a Postdoctoral Researcher to join the NERC Pushing the Frontiers project
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Lives with Linear Accelerators) project, which aims to leverage technologies developed for particle physics, computer vision and robotics into a novel end-to-end radiotherapy system as an essential
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quantitative and programming skills along with a track record of designing neuromodulation and neuroimaging studies in healthy participants, of using computer programs to design experimental paradigms, analyse
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using computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. You will have excellent communication skills, including the ability to write
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found in the job description, and why you would like to do this role. See guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. Any technical questions related to this vacancy can be sent
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—initially concentrating on whole-body and abdominal MRI—using UK Biobank imaging data. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range
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studies, data presentation, etc. Candidates also proficient in quantitative methods will be highly valued, but such skills are not essential. The postholder will be a member of the Saïd Business School’s
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role focuses on the computational analysis and methodological development of third-generation and single-cell sequencing data to understand the role of transposable elements (TEs) in early mammalian