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/UChicago/benefits-guide/ . Qualifications Required: A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data
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. Advanced skills in Microsoft Excel (pivot tables, VLOOKUP’s, Macros etc.). Mathematical aptitude. Preferred Competencies Strong analytical and organizational skills. Strong interpersonal, verbal, and written
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for Entrepreneurship and Innovation, and Argonne National Laboratory. We encourage connections with researchers across the university in such areas as bioinformatics, data science, mathematics, molecular engineering
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econometrics. Advanced coursework in economics or mathematics. Familiarity in analyzing large data sets, applying econometrics methods. Knowledge of machine learning techniques in data analysis. Familiarity with
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sciences and mathematics, and this tradition of innovation continues today. Our inquiry and impact spans from the edge of the observable universe to human-computer interaction, from biophysical materials
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. Develops and solves mathematical models of ecology and evolution. Assists in planning, conducting, and analyzing data on life history evolution. Contributes to the preparation of high-quality journal
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. For information on benefits, please consult the University of Chicago Benefits Guide: https://mybenefits.nfp.com/UChicago/benefits-guide/ . Qualifications A Ph.D. in data science, mathematics, statistics
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new frontiers in the physical and mathematical sciences to lead the world in inquiry and impact. The purpose of MS-ADS is to advance the careers of diverse students for technical- and/or management
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levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s research
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economics, sociology, public policy, or other relevant social/mathematical science field. Preferred Competencies Engage thoughtfully with issues related to race, identity, and equity and work across