329 postdoc-distributed-algorithms positions at University of Michigan in United States
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inventory: unpack shipments, stock lab supplies, reconcile invoices. Accessioning, Specimen Processing and Distribution PathTrack specimens to receive and send specimens between departments. Accession
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high level of customer service and professionalism Maintain administrative processes and tools (e.g., VictorsLink, student organization mail distribution, answering departmental emails) Market Office of
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procedures not requiring management review and delegates more complex issues. Troubleshoots routine inquiries. Compiles periodic reports, agendas, meeting minutes. Takes and distributes meeting minutes as
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and algorithms in the lab for processing and visualizing proteomics data using the FragPipe and FragPipe-Analyst platforms. The successful candidate will collaborate closely with other lab members
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change at any time, and for any reason, throughout the course of employment. Learn more about the work modes . Additional Information Two-year postdoc with option to renew. Background Screening Michigan
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the original audio tape. This process of verification occurs before the written text is used to train our augmented intelligence coding algorithms. De-identified transcripts and audio tapes will be accessed
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for providing utilities services for the university 24 hours per day, 365 days per year. Services include campus-wide utilities purchasing, generation, and distribution, as well as metering and billing energy
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algorithms, data sources and reporting processes. Conceptualize and develop cross-functional client/unit strategic objectives, business processes, and initiatives that drive or increase organizational value
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reconciling stock shortages and inventory. Clean, assemble, dissemble and distribute equipment and stock items. Inspect items for damage and completeness. Record items received, dispensed or returned and
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with other organizations on campus to record, edit, and distribute videos of oral histories of the experiences of Middle Eastern residents in the Dearborn area, creating empathy through audiovisual