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Four Tenure-Track Assistant Professor Positions in Statistics
Description: The Department of Statistics seeks to hire four tenure-track Assistant Professors. We seek to hire faculty with a variety of expertise, especially in (i) complex dependence structures; (ii) high-dimensional data; and (iii) the foundations of data science. We interpret each of these areas broadly. Complex data structures include, as examples, data that are distributed in space and time (spatio-temporal dependence), have links between units (network analysis), include individual heterogeneity (random effects), or have unmeasured covariates and unknown relationships (latent variable models). High-dimensional data include, for example, data that are intrinsically high dimensional (large p), live in non-standard spaces (functional data or shape data), for
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