172 coding-"https:"-"FEMTO-ST"-"CSIC" "https:" "https:" "https:" "https:" "U.S" positions 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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support for conferences, training, or public involvement activities, subject to approval. Details of course fees are available here: https://www.ox.ac.uk/admissions/graduate/courses/dphil-psychiatry
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discounts in several ways; by purchasing a TOTUM card, by showing an employee pass in selected local stores, or online by using any of the listed discount codes Childcare services - We offer excellent
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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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may not amount to enough points under the points-based immigration system in the UK. For more information please visit: https://www.jobs.ox.ac.uk/pre-employment-checks. Further information on this role
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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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guidance at https://www.jobs.ox.ac.uk/cv-and-supporting-statement. The closing date for applications is 12.00 noon on Monday 9th February 2026. Only applications submitted by this time will be considered.
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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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Earth Centre for Doctoral Training (CDT) in AI for the Environment. (https://intelligent-earth.ox.ac.uk/home) Applications for this vacancy are to be made online. You will be required to upload a CV and
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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