169 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" research jobs at University of Oxford
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to, data science, statistics, computer science, engineering, mathematics, etc.), along with prior experience analysing electronic health records data from large mental health electronic health records
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of microscopy company Oxford Nanoimaging ( https://oni.bio/ ). The group is located in the new Kavli Institute for Nanoscience Discovery ( https://kavlinano.ox.ac.uk/ ), a vibrant environment for
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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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University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 2 February 2026 Interviews will take place during week
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, in the Department of Biology and Ineos Oxford Institute, based in the new Life and Mind Building. More information on the research environments can be found at: https://sheppardlab.wordpress.com/ https
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science, or engineering, along with sufficient knowledge of neuroscience and neuroimaging to understand the project questions and objectives, and with proficiency with programming in MATLAB (preferred) or Python. Post
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the ability to independently manage the day-to-day running of a research project including scheduling assessment sessions and liaising with other researchers and staff at multiple sites is essential. You will
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on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 12:00 midday on 7 January 2026
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advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID:183240. Candidates who wish to be considered for both
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are also advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183243 . Candidates who wish to be considered