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visualization, machine learning, and beyond. This is a hybrid position requiring at least 3 days of onsite work. Responsibilities Support applications of Artificial Intelligence (AI) in various research
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Department Booth IT: Application Development About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second to none when it comes to influencing business education and business practices. Since 1898, the school has produced...
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industry-expert faculty and instructors also support the success of the MS-ADS program through their real-world experience and up-to-date knowledge on artificial intelligence and machine learning within
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the AI for Climate (AICE) Initiative at UChicago. For example, AICE has developed a partnership with the Mohamed bin Zayed University of Artificial Intelligence to design a training curriculum for
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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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quantitative research and healthcare courses, including (a) biostatistics, (b) data science and analytics, and/or (c) machine learning and artificial intelligence in healthcare for the Master of Science in
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expansion rate of the universe. This work is part of the Chicago-Carnegie Hubble Program, with an expectation of active involvement in the analysis of the data, performing artificial star tests, calibrating
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Department Booth Center for Applied Artificial Intelligence 1 About the Department The University of Chicago Booth School of Business is the second-oldest business school in the U.S. and second
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interdisciplinary environment. Experience implementing Neural Networks using Tensorflow, PyTorch, Scikit-Learn, OpenCV, deep learning, and other artificial intelligence techniques. Familiarity with Linux, UNIX, and
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science. Faculty train students for careers in industry across multiple sectors by applying their extensive real-world experiences as data science leaders and teaching the latest topics in artificial