678 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford in United Kingdom
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of economics. You will be an internationally recognised scholar with an outstanding record of research and publication, and you will play a leading role in shaping the future direction of economics at Oxford
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Special Studies Module (two-week rolling programme In addition, you will support the NDCN Academic Administration Team with graduate administration when required. To be successful in the post you will
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Musculoskeletal Sciences (NDORMS) is part of the Medical Sciences Division and is the largest European academic department in its field, running a globally competitive programme of research and teaching. The
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. The post‑holder will have the opportunity to teach. Applicants should hold a PhD, or be close to completion, in physics, engineering, computer science or a closely related discipline and have a strong
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About the Role The University of Oxford is seeking a dynamic and motivated PPIE Lead and Coordinator to support an exciting research programme focused on improving blood and transplant safety
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About the role As a system administrator, you will play a critical role in supporting, maintaining and developing the computer systems upon which all the Department’s IT operations depend. Your work
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on software engineering, computational infrastructure, and open-science support, working across multiple work packages. The postholder will play a central role in maintaining and improving the group’s
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epidemiological parameter estimation. This position is funded by Google.org through their Health AI Programme and will be based at the Pandemic Sciences Institute, University of Oxford. You will work closely with
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NDPH Fellowship programme is intended to support suitably experienced individuals to develop an independent research area which will enhance Population Health research in Oxford. Under the guidance
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, Engineering, or a closely related discipline. You will be a materials or physical scientist with a strong track record in applying deep learning to computer vision problems, ideally within battery