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The Department of Statistics and Somerville College are recruiting an Associate Professor of Statistics. The successful candidate will be an outstanding individual who is, or has the potential
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Senior Postdoctoral Researcher: statistical and computational methods for complex traits in biobanks
, using genetics theory, computer simulation studies and analysis of data from large biobanks. To be considered, you must hold a relevant PhD/Dphil in a relevant field e.g., statistical genetics
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. The laboratory uses a combination of statistical, computational, and experimental approaches to understand how processes in our cells lead to changes in their DNA. These changes include errors (mutations
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(SDMA) team provides a portfolio of data, reporting and statistical services for the University of Oxford. In addition to maintaining and facilitating access to reporting datasets on Oxford students and
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with study designs and development of study protocols. To be considered for this position, you will hold an MSc in statistics or epidemiology or a health-related field which includes a substantial amount
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. You will conduct statistical analyses of genetically informative data sets measured for phenotypes of direct or indirect relevance to psychiatry. You will have or be close to the completion of a PhD in
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statistics, biostatistics, or health data sciences together with an MSc in Public Health, Epidemiology, Statistics, Medical Statistics, Biostatistics, or a related field. Demonstrable advanced skills and
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and enthusiastic researcher to develop their career in statistical epidemiology within the internationally leading Department of Statistics in the University of Oxford at a critical time for this field
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collaborations across the University, and supervise research students. The successful applicant will also have the opportunity to conduct a small amount of teaching at the Department of Statistics in their areas
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experience in project management involving data management, health data science, medical statistics, epidemiology, or a related discipline. We would also welcome applications from people with advanced data