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that are precisely matched to the patients most likely to benefit. The post is based in the Big Data Institute, University of Oxford. The post is for a fixed term (funded for 4 years) and is full-time although
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or research outputs, please explain this by providing an additional paragraph in your supporting statement. The University of Oxford is committed to equality and valuing diversity. All applicants will be judged
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Stephan Sanders at the University of Oxford. The groups focus on genetic causes of neurological and neurodevelopmental disorders with the goal to develop cutting-edge genetic therapies for these disorders
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that are precisely matched to the patients most likely to benefit. The post is based in the Big Data Institute, University of Oxford. The post is for a fixed term (funded for 4 years) and is full-time although
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readouts and tissue imaging, to human tissue models, organoids, and bioreactors. You will be part of an interdisciplinary team of scientists and clinician researchers, spread across both Oxford and
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/DPhil in relevant quantitative area, as well as knowledge of statistics and/or Bayesian learning, and necessary mathematical and computational skills to put these into practice. Skills in computer
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the Oxford University Hospitals NHS Foundation Trust. You will be responsible for working with senior medical statisticians to develop medical statistical methods for improving our understanding
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and should hold sufficient theoretical and practical knowledge of methodologies such as deep and statistical learning. Informal enquiries may be addressed to Prof. Andrew Zisserman (email
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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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and collaborate in the preparation of research publications. To be considered you will hold or be close to completion of a PhD/DPhil in Demography, Sociology, Economics, Statistics, Public/Population