790 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of Oxford
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Head of Philanthropy Saïd Business School, University of Oxford Salaryrange of £56,623 - £65,336(Grade 9) 38 days’ holiday | USS pension scheme | Hybrid working Founded in 1996, Saïd Business School is a young, vibrant and innovative business school that is deeply embedded in a 900-year-old...
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identified schools to support KS4 students to reach the very top grades in GCSE Mathematics or equivalent, by providing a sustained programme of resources and online mentoring. In particular, we will focus
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/appointment where appropriate.) Location: Begbroke Science Park, Begbroke, Oxford The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials
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an active programme of phase I, II, clinical trials across the UK, and Gambia, Burkina Faso and Kenya, working closely with international partners to evaluate vaccine safety, immune responses. We are now
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5 years. The appointments will be in the area of statistical quantitative finance/financial econometrics, in particular data science and machine learning applied to quantitative finance
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Associate to support Professor David Willis and the CURLEW Project (Census of Urban and Rural Language in England and Wales), for which an SNSF (Swiss National Science Foundation) grant has been awarded
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Sclerosis, ALS, and the related disorder frontotemporal dementia, FTD) through their engagement with an established internationally-leading programme of neuroscience research led by Professor Kevin Talbot
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Oxford-Mary Frances Wagley Graduate Scholarship The Oxford-Mary Frances Wagley Graduate Scholarship is open to applicants to a DPhil course in a science (preferably natural science) subject and
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-ome data at bulk and single cell resolution. You will hold a PhD in Mathematics, Systems Biology or a related subject. Experience with mathematical modelling of dynamical systems using linear and non
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on combining theoretical and computational approaches (including data-driven mathematical models, tools for identifiability analysis and uncertainty quantification) to understand fundamental aspects