421 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"SciLifeLab" positions at University of Oxford
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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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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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provide advice and guidance to research students. You will manage your own research and administrative activities, within guidelines provided by senior colleagues. You will gather and manage ecological data
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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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out how you meet the selection criteria for the post, using examples of your skills and experience. Click here for information and advice on writing an effective Supporting Statement. As part of your
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that form our core research programme. They will be a cornerstone of the centre, collaborating across our three Research Pillars to generate hypotheses and data to underpin subsequent grant applications and
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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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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