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of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
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the project, from designing and developing research protocols, coding simulations, cleaning large and routinely collected data, writing statistical analysis plans, conducting statistical analyses, and writing
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for Cancer Research, University of Oxford In this role your duties will include provide statistical analysis plans for studies and handle day-to-day planning to keep the work on track and efficient and the
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students. To be considered you will hold a degree at Masters level or equivalent, with substantial numerical content, eg mathematics, statistics, computer science, or a physical science. Experience and
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pathways. You will also have the freedom to determine your own research approaches within this broad framework. You will have or be close to the completion of a PhD in statistical/computational genomics with
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management. The duties also include providing advice and supervising staff and students in the group on a day-to-day basis. It is essential that you hold a PhD/DPhil in Genetics, Genomics, Statistical Genetics
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and accelerating the development of disease therapies. You will be responsible for analysing and interpreting complex biological datasets using advanced statistical and machine learning techniques
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statistical support to all clinical trial activities within the CTU. This is a full-time position for a period of 2 years in the first instance. You will hold a Postgraduate degree in statistics supported by a
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We invite applications for a full-time Postdoctoral Research Associate to work on the statistical properties of Denoising Diffusion Models (DDMs) project funded by EPSRC and led by Professor George
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completion of a project. You will hold a PhD degree (or near completion) in a discipline of direct relevance to computational genomics and/or statistical genetics, have the ability to deliver high-quality