331 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" uni jobs at University of Oxford
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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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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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(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
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audiences and communicate complex concepts in a clear and engaging way. Experience of working in a research/higher education environment would be desirable. For more information about the ORI, please see
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regulations via monthly dashboards review • Produce financial reports and management information for internal and external stakeholders • Administer UKRI training grants, including student stipend payments
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should also clearly describe how you meet each of the selection criteria listed in the job description. Click here for information and advice on writing an effective Supporting Statement. To discuss the
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of standardised job descriptions, and help ensure job documentation accurately reflects role requirements. You will also review job evaluation data to inform recommendations, contributing to the development and