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Description of Work: The U.S. Meat Animal Research Center (USMARC) is a 34,000-acre facility near Clay Center, NE. All work performed at USMARC supports research that is focused on solving high priority
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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with scientists to develop solutions in support of cutting-edge
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truly amazing place to work and thrive. The technology support specialist performs installation, maintenance, and repair of the college's computers, servers, printers, and scanners. S/he will install
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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applicable). Position Summary The patient service technician (PST) performs specimen collection by both venipuncture and capillary puncture, specimen labeling, and specimen processing. Verifies accuracy and
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other science technicians to ensure appropriate disposal of waste. Performs other duties as assigned by the Dean of STEM or the Science Department Chair Job Requirements: High school diploma, GED
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coral reefs on wave dissipation and mitigation of extreme sea levels and flooding, combining field observation and high-resolution numerical modelling. However, the high computational cost associated with
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on high-performance optronic instruments. However, several constraints complicate these measurements: on the one hand, the cryogenic cooling required for these high-performance IR detectors, whose intrinsic
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EUR for the return to Paraguay. Selection Crucial selection requirements: Above-average performances during the previous studies High quality dissertation or research Project Further information
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 1 day ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems