354 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at The University of Chicago
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law. Technical Knowledge or Skills: Access computer programs and use or learn basic computer operations related to position requirements. Read and interpret documents. Communicate effectively in English
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solving skills. Attention to detail. Strong organizational skills. Ability to learn new research techniques or methods. Ability to work independently and as part of a team. Oral and written communication
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relationships. Exercise absolute discretion regarding confidential matters. Follow written and/or verbal instructions. Handle sensitive matters with tact and discretion. Handle stressful situations. Learn and
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discretion. Ability to pay attention to detail. Ability to perform multiple tasks simultaneously. Excellent time management and ability to prioritize work assignments. Ability to train or teach others. Working
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evening and weekend functions when necessary. Demonstrated skill and knowledge of, or ability to learn quickly, the internal workings of the University as well as the technology tools available
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, or similar field. Familiarity with higher education advancement. Background managing cross-team projects. Technical Skills or Knowledge: Demonstrated skill and knowledge of, or ability to learn quickly
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environments is beneficial. Certifications: Service-now.com Developer certification. Technical Skills or Knowledge: Proven process design and improvement capabilities. Curiosity and willingness to learn
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, IL Dec 1, 2025 Description The Social Sciences and New Collegiate Divisions at the University of Chicago are now accepting applications for a part-time, non-benefits-eligible Lecturer to teach one
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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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-informed practices. Develop and code data dictionaries for discrete data. Write, implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with