308 parallel-and-distributed-computing-"U"-"Washington-University-in-St" positions at Virginia Tech in United States
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present information effectively to customers and accurately answer their questions. Assists in all areas of ticket sales, processing, distribution, and customer support. Must have current knowledge
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employer surveys, targeted program assessments and CPD annual reports. The director consults with CPD leadership and key campus partners to ensure sound data analysis and create sustainable processes
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as needed at all mail service locations and work requirements to meet department needs. The Owens and GLC facilities on campus are focused on customer service and distribution related tasks. Duties
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for front-desk reception and high-quality customer service. Key duties include mail distribution, processing non-travel reimbursements, key distribution, room reservations, and general office management
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for runoff quality studies, conducting laboratory analyses, conducting statistical or numerical analyses, or conducting computer modeling/geographic information (GIS) analyses. This is a part-time, off-campus
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role performs financial and operational activities including purchasing; employee onboarding; labor distribution; travel authorizations and reimbursements; payroll coordination; electronic
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Virginia Tech Advanced Research Computing (ARC) seeks a Research Software Engineer for a one-year restricted role developing HPC tools supporting cutting-edge research and innovation. ARC hosts
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of Engineering’s undergraduate program ranks 13th and the graduate program ranks 31st among all U.S. engineering schools while the Mechanical Engineering Department’s undergraduate program is ranked 13th and
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approximately 500+ computers, servers, and end users. This role serves a diverse user base with varying technical skill levels, including developers, analysts, researchers, and administrative staff. Support
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breeding program at Virginia Tech under the mentorship of the program lead, Principal Investigator (PI). The applicant is expected to develop and apply novel predictive breeding methods using high