77 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" research jobs at University of Oxford
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, reproducible tools and datasets. • Infrastructure and benchmarking for large-scale social-science simulation and validated workflows. The group website is https://torrvision.com/ Feel free to add Professor
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of the project Dr Ozan Aksoy and working in collaboration with Dr Burak Sonmez (UCL) as Co-Investigator, the post holder will play an active role in the research team in conducting a quantitative review of the
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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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part of your 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 4th March 2026. It is
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at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 13 February 2026. Interviews will take place in the week commencing 2 March 2026 and will be face-to-face or online
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criteria 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
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of your 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 9 February 2026. Interviews
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. Please see the University pages on the application process at https://www.jobs.ox.ac.uk/application-process The closing date for applications is 3 February 2026 Interviews will take place during week
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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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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