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interests in the areas of applied mathematics, pure mathematics, statistics, and data science. It has particular research strengths in Algebra, Analysis, Number Theory, Bayesian and Monte Carlo Methods
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no direct reports. Skills Required: A PhD in data science or cancer epidemiology, and/or relevant work experience. Proven commitment to proactively keeping up to date with research aimed at reducing health
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applications, conducting commissioned research for government, contributing to investigator-driven research projects, designing and implementing advanced research methods, and employing cutting edge analytic
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/perturbation theory, and rigorous numerics. Possible applications of the new theory include the analysis of spatiotemporal data arising from weather and climate observations/models and from models of social