727 parallel-and-distributed-computing-"Meta"-"Meta" positions at The University of Chicago
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high level of independence and collaboration. Responsibilities Provides computational support activities to scientific research projects. Analyses and maintains data. Develops computational workflows
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a new multidisciplinary training program to equip researchers with emerging tools and methods to conduct precision health research within a population health framework. Our faculty lead research
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. Process data through Python services and systems. Use basic computing coding to complement existing projects. Learn machine learning code. Review existing software development programs. Take notes
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. The University of Chicago's Anesthesia Residency program is designed to offer a premier training experience. Our residents benefit from the combination of our distinguished faculty, rich research history, world
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procedures as needed. Keeps working area clean and safe. Wears and/or uses appropriate safety equipment. Uses computers to enter and access job related information. Undertakes training related to job duties as
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staff on university policy and process matters and on BSD's academic guidelines. Resolves problems or questions referred by program staff, University administrators, or other contingencies. Utilizes oral
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candidates’ application materials and recommending admission decisions based on evaluation criteria. Responsibilities: Work within the application rounds for the Booth Full-Time MBA program, taking place mid
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across the University. Our work supports priorities in every division, school, department, and institute. Job Summary This role manages a University-wide development program focused on foundations
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Laboratory Improvement Amendments (CLIA) guidelines. Ensuring proper maintenance, organization, and backup of clinical laboratory data on on-site high performance computing cluster systems. Participation in
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during critical system updates, critical project phases, or issue resolution. Sit for short or extended time periods. Stand for short or extended time periods. Extensively use computer. Make repetitive