833 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "University of Waterloo" positions at University of Oxford
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whether privacy-preserving language models can reliably support causal inference in psychiatry at scale. The PhD (DPhil) programme will be supervised by Dr Andrey Kormilitzin (University of Oxford) and
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carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and teaching across diverse fields, consistently ranking among
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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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This vacancy is only for applying and current Oxford University DPhil Computer Science students. About the Role The Department of Computer Science, University of Oxford, is seeking Part-time
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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 Botnar Research
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Permanent, Full time Model of working: on site. Occasional remote working possible with permission from line-manager. The mission of the School of Medicine and Biomedical Sciences (SMBMS) is to
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We are seeking a Senior Researcher to join a joint research programme between the Big Data Institute (BDI) in the Nuffield Department of Population Health and the Centre for Human Genetics in
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, applied/computational algebraic geometry, data science/networks or a related discipline, and possess sufficient specialist knowledge in applied topology and/or algebra, random topology, algebraic statistics
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over one or more core research thrusts within the lab’s multi-agent security programme. You should possess a PhD/DPhil completed, (or near completion), in theoretical computer science, information theory