316 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at University of Oxford
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personal discretion and judgement, especially when dealing with sensitive and confidential information and seeking to resolve complex situations. Experience of providing advice and support through coaching
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Employee Assistant Programme Family leave schemes Cycle and electric car loan schemes Childcare services Discounted bus travel and season ticket travel loans More information is available at Staff Benefits
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major initiatives, and aligning practice with architecture, data and service design principles. The role includes responsibility for resource and budget management, developing capability frameworks and
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crystallography data, adapt and develop new protocols, and contribute to research publications, grant applications, and presentations at national and international conferences. You will collaborate closely with
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data, IT and statistics. Responsibilities will include all key tasks within the lifecycle of the trial and line management either within the study itself or within the trial management group
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information and be self-motivated with ability to work with initiative and flexibility, knowing when to refer matters to others. The ability to work well under pressure, prioritise workload and give attention
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principles. You should be confident using bibliometric tools and data sources and be able to communicate findings clearly. Strong analytical skills, experience working with data, and the ability to work
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, and other team members, and contribute to the development of information management systems to improve grant administration across the department. It is essential that you must have a degree or
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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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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