330 data-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at Virginia Tech in United States
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external stakeholders, audiences, and publics. Scholars who research digital technologies—including social media, organizational data practices, and remote work— as well as ethical approaches to digital
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field of artificial intelligence and its implications on news, information, and democracy. We seek candidates with demonstrated scholarly achievement, or potential for such achievement, aligned with
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, interpret and present information and reports • Demonstrated experience communicating and administering state policies and procedures pertaining to benefits • Experience working with Virginia Retirement
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-prepared; • Demonstrated ability to work effectively with individuals from diverse educational, cultural, and economic backgrounds; • Strong communication and computer skills. Preferred Qualifications
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; creation of weekly grade reports; engage in regular contact with faculty of student-athletes. Provide accurate and timely information to SAASS senior management and coaching staff(s) on matters pertaining
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the School of Animal Sciences and work collaboratively with faculty at ARECs across Virginia and on the main campus to provide relevant, timely, research-based information to stakeholders involved in forage
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Job Description The Virginia Tech Institute for Advanced Computing (IAC), in partnership with the Departments of Computer Science (CS) and Electrical and Computer Engineering (ECE), invites
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of student and other customer information. Records payments received by the University through cash receipts system and answers complex questions concerning student accounts and university policies and
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. This position involves leading and coordinating research activities, including study implementation, data collection, quality assurance, and collaboration with community and academic partners. In
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systems. The individual will be responsible for: • Develop and implement models for the structural and mechanical performance and optimization of mass timber systems, using data-driven approaches