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. Certifications: --- Preferred Qualifications Education: Bachelor's degree in economics, sociology, public policy or other relevant social/mathematical science field. Coursework in econometrics and/or mathematical
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Department Harris School Finance About the Department Policy with real impact doesn’t evolve from ideology or intuition, or even experience. At the University of Chicago Harris School of Public Policy developing effective public policy is a science, based on data and measurable...
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. The selected candidate will be responsible for serving as the lead instructor for either CMSC 14100 (Introduction to Computer Science) or CMSC 25300 (Mathematical Foundations of Machine Learning) as
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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 science to
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, statistics, applied mathematics, bioinformatics, computer science or a related field and 2) completed postdoctoral training prior. To be considered, those interested must apply through The University
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computer science, mathematics, statistics, engineering, or a relevant quantitative field. Experience: 3+ years of relevant software development experience, full cycle, including design, coding, testing, and support
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create a rich learning environment, and a culture of intellectual curiosity. We are seeking someone who enjoys thinking deeply about mathematics, is passionate and committed to meeting the needs of diverse
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mathematical statistics. Master's degree. Experience: 2-3 years of applied quantitative research experience. Experience working with large and complex datasets. Proficiency with one or more languages such as R
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The University of Chicago Academic Jobs Research Assistant Professor in Analysis of Biomedical Data #FMD015 Department of Family Medicine, Biological Sciences Division Position Type: Other Academic Appointee Salary Range: $110,000-$120,000 per year Chicago, IL, United States May 15, 2025 – ...
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of Dr. Susan Levine focuses on mathematical and language development in young children, and on variations in children’s learning trajectories that relate to their experiences at home and at school. We