26 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Mines Paris PSL" research jobs at The University of Chicago
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serving the University of Chicago Booth School of Business, the Kenneth C. Griffin Department of Economics, the Harris School of Public Policy, and the Law School. For more information visit https
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the world. Each 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
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, reports, or publications strongly preferred. Working Conditions Lab environment. Ability to stand for extended periods. Ability to use computer for extended periods. Application Documents Resume (required
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Academic Recruitment job board, which utilizes Interfolio to accept applications: https://apply.interfolio.com/179813. Applicants must upload: 1) Cover letter, 2) Curriculum vitae (including bibliography
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others, both on internal teams and with external partners. Excellent organizational skills and attention to detail. Ability to learn new lab protocols and apply them at scale (e.g. genotyping thousands
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conferences and workshops. The Research Assistant Professor may be asked to teach (or may ask to teach) but that is neither required nor guaranteed. Qualifications Applicants must have a Ph.D. in Economics or
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the world. Each 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
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. Preferred Competencies Problem-solving and analytical skills. Ability to learn new research techniques or methods. Ability to work independently and as part of a team. Knowledge of regulatory policies and
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information for at least two (2) professionals in the field who can provide letters of recommendation. Applications must be submitted at this link: https://apply.interfolio.com/178857 . Applications must be
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and distributed computing environments, and working with large-scale machine learning models. The successful candidate will contribute to the development of agentic systems, working with a team of