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partnership with university faculty. Therefore, the Instructional Professor must be able to teach a course independently and function well as a member of a teaching team in both a lecture and laboratory
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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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on research findings. Responsibilities Assist in the research, development and/or application of machine learning models to immunology. Work closely with students and postdoctoral researchers and other members
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campus, and 4) be in residence at the University of Chicago during the three quarters of the academic year. Depending on qualifications and departmental need, the selected candidate may be able to teach up
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depending on previous experience and initial rank. Reappointment and progression, if applicable, possible following successful review. The selected candidate will teach up to seven courses per academic year
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process which for most culminates in a master’s thesis supervised by a University of Chicago faculty member. MAPH is excellent preparation for students who wish to continue their studies in a PhD program
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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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of highly accomplished faculty, postdocs, graduate students, and undergraduates, all of whom push the boundaries of their respective fields. The Department supports a PhD program in Geophysical Sciences while
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(Python, R, or equivalent), and a programming language (C/C++, Java). Background in statistics and machine learning strongly preferred. Knowledge of SLURM or other job scheduler, and/or bioinformatics tools
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be contingent upon the continued receipt of these grant funds and satisfactory job performance. Job Summary This person will be broadly in charge of the Artificial Intelligence/Machine Learning (AI/ML