We have an opening for a postdoctoral researcher in statistics and machine 
learning at the University of Chicago. The candidate will be given the 
opportunity to pursue a broad research agenda at the intersection of statistics 
and machine learning and will ideally have a background in at least one of the 
following areas: latent variable models, deep generative models, causal 
inference, nonparametric statistics, learning theory, or graphical models. The 
candidate should have a recent Ph.D. (or all-but-dissertation) in statistics, 
computer science, mathematics, or a related area, and should be proficient in 
programming in Python or R.

Details: 
https://www.chicagobooth.edu/-/media/faculty/research-professional-program/job-ads/2022-23/principal_researcher_aragam_announcement_2022.pdf
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