326 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at University of Oxford
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to problems, or to progress key tasks. They will have an excellent standard of computer-literacy and will have the ability to handle numerical and financial data with confidence and accuracy. This is a
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in day-to-day delivery of the study, from handling patient samples and assays to data analysis and liaison with clinical and industry partners, and be closely involved in technology development
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of managing financial data, ideally in a finance setting, and will be highly numerate with strong attention to detail. Previous experience of using Oracle would be advantageous. What We Offer As an employer, we
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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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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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Process Informal enquiries may be addressed to Nadine Gilhome (nadine.gilhome@eng.ox.ac.uk). For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ Only online
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within a team. You will have up-to-date knowledge of UK employment law, and awareness of data protection and information security guidelines. You will enjoy providing a high level of customer service and
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contact details of two referees. The supporting statement should explain how you meet the essential criteria for the post using clear examples. Please click here for information and advice on writing
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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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Development Review (PDR) process, to promoting apprenticeships, coaching, LinkedIn Learning and leadership development. You will also play a central role in our move to improve our data and digital fluency