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We are looking for a Postdoctoral Research Associate reporting to the Principal Investigator Prof Yee-Whye Teh, they will be a member of the Oxford Computational Statistics and Machine Learning
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concentration, statistics and economic history. Reporting to Prof. Facundo Alvaredo, you will have a specific focus on estimating, analysing, and interpreting historical series of top income shares, top wealth
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of Computer Science and Statistics, Artificial Intelligence Discipline, and the Trinity College Institute of Neuroscience (TCIN), where they will interact closely with experimental and computational neuroscience groups
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, Statistics, or a closely related quantitative discipline; a track record of research output appropriate to career stage; strong empirical research skills; an adversarial/security mindset grounded in threat
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area. Advanced programming and statistical skills with the ability to manage multiple competing demands along with excellent communication skills are also required, along with a proven track record of
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aging and malignant transformation, taking the lead in developing novel mathematical models and statistical tools, to quantify clonal dynamics in aging and malignant human tissues. As a member of an
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group is a world leader in the development of statistical, mathematical, and computational models that inform disease dynamics, and in the translation of outputs to national and global health policy
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, in particular Praat and R. You will have experience devising quantitative methods for analysis of complex data sets and experience with multivariate statistics. You will have experience writing up
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should hold a PhD (or be close to completion) in weather and climate science, mathematics, physics, statistical science or relevant related fields. Demonstration of drive and ability to perform novel
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understanding of dark energy. Projects may span a broad range of topics, including improving Type Ia supernova modelling and standardization, developing and applying advanced data analysis and statistical methods