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Department ADV Staff Development About the Department The Advancement Office engages alumni (~220k), current students, parents and friends of the University through intellectual, professional and social activities on campus, around the world and online. Advancement raises $600 Million annually...
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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
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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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with university financial policies and procedures and domestic and international tax regulations. Technical Knowledge or Skills: Project Management experience. Strong mathematical, analytical and problem
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member and make sound decisions with minimal direction and under stressful circumstances required. Effectively communicate verbally and in writing required. Complete mathematical calculations involving
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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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with material handling equipment required. Familiarity with CRT terminal preferred. Ability to type preferred. Ability to read and calculate simple mathematical problems required. Stockroom/receiving
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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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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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Qualifications Education: A degree with training statistical methods, including familiarity with experimental methods. An advanced degree in economics or related field with evidence of strong mathematics