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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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mathematical functions relevant to the position. Problem-solve. Additional Responsibilities Education, Experience, or Certifications: Education: High school diploma or general education degree (GED) required
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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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Education: Bachelor’s degree in economics or a related quantitative field such as statistics, mathematics, finance, or computer science. Training in economics through the intermediate theory level. Training
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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
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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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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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liability loss prevention. General understanding of safety practices. Project management skills. Mathematical and analytical ability. General understanding of higher education and healthcare compliance and