117 distributed-algorithms-"Meta"-"Meta" positions at The University of Chicago in United States
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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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metadata is distributed to the cancer research community. This is an opportunity to elevate your career working with one of the world's largest collections of harmonized cancer genomic data. This role
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, validates and implements sophisticated algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates
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the Woman’s Hospital, as well as partner with Cardiology to develop distributed ECMO capabilities (e.g., cath lab cannulation, ICU readiness at multiple sites). Lead recruitment, retention, and advancement
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Department Press Distribution Accounting About the Department The University of Chicago Press Distribution Center (CDC) is a state-of-the-art distribution and fulfillment operation, providing a full
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needed from the Dock/Shipping area. Maintain and oversee all duties on the Dock. Receive, coordinate, track, and distribute all incoming parcels and packages into the division. Handle recharge accounts
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batching for computer processing. Verifies output against control totals, reviews format and accuracy of printouts, and distributes information to appropriate departments. Responsibilities With moderate
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events that require collaboration across campus departments. Activities could include but are not limited to creating and distributing virtual event links, hosting and moderating online events, and
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best practices and safe clinical research conduct. The job has deep knowledge and expertise within a Nursing specialty. Establishes plans for the safe distribution of medications. Uses specialized depth
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intelligence is preferred in candidates applying for this position. Responsibilities Design, develop, test, and debug complex software programs. Implement and optimize algorithms (ML + AI) for data-intensive