877 parallel-and-distributed-computing-"Multiple" positions at University of Minnesota in United States
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Outdoor Program department and the Applied Human Sciences academic department. Contribute to the RSOP team by assisting and working with individuals from multiple ethnic and cultural backgrounds, including
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Administration (SPA) and UMN Sponsored Finance Reporting (SFR) to invoice and report on sponsored activity meeting all contractual obligations Communicate and coordinate with faculty and staff from multiple
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intake, student check-out with a positive and friendly demeanor Must be a team player, working collaboratively with co-workers and faculty Demonstrated ability to function with multiple priorities and
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for providing a wide variety of high quality, large quantity food products to meet the needs of guests. Produces a whole meal by preparing multiple recipes in a meal menu, often from scratch, following brand
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UMAA’s online platform for career-advice, networking, and mentorship, and the micro-internship program embedded within the Maroon and Gold Network. ● Develop and execute career and professional
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requires working outside of standard business hours to meet program needs. Job Duties 50% Course Operations & Logistics Oversee day-to-day management of the Outpatient Selective course, independently
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, coordinating and maintaining a master schedule of course launches in collaboration with the Director of E-Learning Services, ELS team members, SPH program directors, division heads, and faculty. Lead a
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Neuroimaging Hub to assist with imaging analysis for MIDB research projects. A successful candidate will have knowledge of a wide variety of advanced statistical and computational techniques, excellent
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, tracking and distribution of human tissue samples to collaborating University of Minnesota laboratories. The Clinical Research Coordinator will work across multiple study protocols, supporting various
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C