465 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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for occasional remote working. For more information about the role please view the further particulars below. If you think you have what we are looking for please apply following the guidance below. Applications
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(RCTs). For Grade 7 applicants, you must also be fluent in trial design and skilled in statistical techniques relevant to RCTs. Clear communication of statistical information in simple terms is essential
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proof-of-principle repetition-rate and staging experimentation. The successful candidate will perform duties that include developing/using particle-in-cell computer codes hosted on local and national high
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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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information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 2nd February 2026 can be considered. You will be required to upload a
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Grade 8: £49,119 - £58,265 per annum including the Oxford University Weighting of £1,730 per annum Fixed-term (one year), full-time (37.5 hours per week) Oxford Saïd’s Digital and Information
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central department at the University of Oxford, responsible for delivering robust governance, change support and effective planning and resource allocation informed by data-driven insights. By connecting
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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Cathy Ye (email: hua.ye@eng.ox.ac.uk) For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online applications received before midday on 30 January 2026 can
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three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and high-profile publications. In this role you will lead on the delivery of the assigned CoRE research