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, statistics, and data science with a strong commitment to pursuing applied research in a collaborative, interdisciplinary setting. Applicants must hold (or be about to receive) a PhD in Statistics, Data Science
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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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responsibilities: Recruitment and Admissions: Manage the recruitment process, including advertising studentships, handling inquiries, processing applications, and coordinating interviews and open days. MRes and PhD
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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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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