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Location: 24-29 St Giles’, Oxford, OX1 3LB We are seeking to appoint a Postdoctoral Research Associate to join the Oxford Protein Informatics Group (OPIG) in the Department of Statistics
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including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing to publications/presentations as well as the ability to manage your own academic
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specify its RNA-binding and regulatory repertoire. With a strong background in biochemistry, cell biology and computational and statistical analysis, you will regularly communicate and work collaboratively
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representative administrative and statistical data. We identify economic and social inequalities within and between regions, conduct research into their underlying causes, and inform policies aimed at alleviating
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science related discipline. You will possess established expertise in data analysis including statistical programming (e.g., STATA, RStudio, Python). You will demonstrate previous experience of contributing
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deep neural networks to guide the development of algorithmic paradigms aimed at combining statistical optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will
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including applied modelling of biological processes. You must have the ability to integrate mathematical, statistical and biophysical approaches to address biological questions. It is essential that you have
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modules to prove their commercial viability. In addition to actively compensating the turbulence, we also research the statistical theory behind the generation of turbulence and its effect on optical beams
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geneticists and clinicians to integrate this assay with current genetic markers and clinical practices. A strong command of statistics and multi-centre collaborations is therefore required. Successful
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hold a PhD (or be close to completion) in, for example, econometrics, statistics, or computer science, with experience of analysing large datasets. The post offers the opportunity to contribute to a