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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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skilled students and young people skilled in the techniques of data preprocessing, machine learning, and also building and supporting Python services and systems. The position will be remote, primarily
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of Public Policy seeks applicants for a one-year Predoctoral Scholar - Machine Learning Data Scientist position. The ideal candidate will have core interests in education research. The successful candidate
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research of exceptionally high quality, to teach effectively, and to participate in and contribute to the academic environment at the University. Application Instructions Each candidate should submit a
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practitioners and educators in the fields of Machine Learning and Artificial Intelligence, Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, High-Performance
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THE UNIVERSITY OF CHICAGO LAW SCHOOL. We seek to appoint Bigelow Fellows at the rank of Lecturer to teach legal research and writing, effective July 1, 2026 or thereafter. The appointment is for one year with
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intelligence, machine learning, and more. Learn more about our program at https://datascience.uchicago.edu/education/masters-programs/ms-in-applied-data-science Job Summary Reporting to the Director of Academic
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data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging
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of best practices in machine learning and statistical inference. Provides expertise for high level or complex data-related requests and engages other IT resources as needed. Performs other related work as
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using SQL, and AI/machine learning models is critical. Faculty members are expected to be exceptional teachers and contribute to the School’s academic environment. Qualifications Successful candidates