758 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at The University of Chicago
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, participating in, and contributing to program operations, admissions, student recruitment, alumni engagement; and/or delivering summer programming for the PME. Qualifications A PhD in Physics, Engineering or
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clinical research. Our research program is one of the largest gynecologic oncology programs in the Midwest, with an average of 18-22 therapeutic phase phase I-III trials open at all-times. We need a clinical
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. Provides operational direction and support for a robust schedule of Career Services programs and events for MBA students, coordinating and overseeing operational aspects of the campus recruiting program. The
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Department PSD Applied Data Science Staff About the Department The Master of Science in Applied Data Science (MS-ADS) program is a large professional graduate program within the Data Science
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. Responsibilities Provides materials for protocol development to study chairs and assistance in implementing protocol development policies and procedures. Formats, proofreads, and edits protocols. Distributes
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within University Research Administration, providing leadership and oversight of billing and collections activities such as invoicing, dunning activity, process improvement and workload distribution
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Department Press Warehouse Inventory Control About the Department The University of Chicago Press Distribution Center (CDC) fulfills orders of UChicago books as well as those of roughly 150 other
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the full admissions lifecycle for PhD, MS, NDVS, and Summer Research Program applicants, including application review, decision release, and TA assignment letter generation. Oversees graduate student records
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academic and life outcomes for all students. We seek a collaborative scholar with an existing program of research in the area of education policy, history, and equity, with a particular interest in
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tuning. Leads and conducts technical workshops or training sessions for faculty, PhD students, and staff, and develops high-quality documentation and user guides to support AI/ML uptake across Booth