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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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responsible for teaching six courses over the academic year in introductory programming, algorithms, machine learning, or systems depending on the candidates’ qualifications and programmatic need. In
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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the 2026-27 academic year. We are seeking the best possible candidates without regard to subfield of specialtization. We invite applications from those who hold a PhD (or equivalent) in the relevant field(s
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related to learning and memory. Job Summary The Staff Scientist will work to collect physiological data and perform analyses using custom workflows established in the laboratory. Responsibilities Clean raw
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must be able to teach a course independently and to function well as a member of a teaching team in both a lecture and laboratory teaching setting. Additional duties include hiring, training, and
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. Prepare and teach courses at all levels. Advise students at all levels. Participate in related academic, departmental and professional activities. Education: PhD in Political Science, Political Economy
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within biogeochemical global circulation models; (2) developing reinforcement learning approaches to modeling the dynamics of marine microbial metabolism and physiology; and (3) evaluating the sensitivity
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Department of Computer Science’s participation in annual conferences such as Grace Hopper and Tapia, while evaluating additional conferences (e.g., AfroTech, NSBE, SACNAS) for potential participation. Develop
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-the-art learning environment. Chicago Booth is proud to claim: -an unmatched faculty. -degree and open enrollment programs offered on three continents. -a global body of nearly 56,000 accomplished