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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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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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USA Apr 10, 2024 – Apr 18, 2024 Description The Department of Near Eastern Languages and Civilizations at the University of Chicago invites applications for a position as part-time Lecturer to teach
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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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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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(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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years of work experience in a related job discipline. --- Certifications: --- Preferred Qualifications Education: PhD in Math, Computational Sciences, Earth Science, Soil Science, Environmental Science
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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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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