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, participant recruitment, data collection with participants and data analysis. Some experience with running user studies is essential. Experience with data analysis such as statistical testing is desirable
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will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer
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wide range of topics, including matching, scheduling, internet markets, and developing new algorithms and analysis techniques. Typical tools and topics are Probability and Statistics, Game Theory
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chronic pain. As the role will require the analysis of existing large multi-wave longitudinal datasets, a good level of understanding of, and familiarity with, appropriate statistical methods will be
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administrative tasks, and maintaining up-to-date statistics and information for reports. Financial Administration: Monitor budgets, manage accounts, process expenses, and liaise with finance offices and industrial
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expertise in algebraic geometry, algebraic topology, or number theory, with specific topics in the research programme including: Arithmetic statistics Applications of homological stability in arithmetic