60 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" research jobs at University of Oxford
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colleges, and discounts at University museums. See https://hr.admin.ox.ac.uk/staff-benefits Application Process Applications for this vacancy are to be made online. You will be required to upload a
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systems. Demonstrable ability to write code in R and/or Python in such a way that data analysis can be streamlined is essential as is the ability to apply fundamental data science techniques. Experience
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opportunity to pursue an independent programme of research in this critical area and to join Oxford University’s Tuberculosis Grand Challenge (https://www.ineosoxford.ox.ac.uk/ioi-grand-challenge-tuberculosis
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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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a PhD/DPhil, strong analytical and coding skills, and a passion for interdisciplinary collaboration. If you have experience in modelling, data science, or heritage science — and a drive to turn
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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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research methods, including data collection, coding, analysis and writing up is essential. Along with excellent organisational skills including use of advanced AI tools to support research processes, you
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online application. Please see the 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
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covering letter/supporting statement, CV and the details of two referees as part of your online application. Please see the University pages on the application process at https://www.jobs.ox.ac.uk