218 linked-data-"https:"-"https:"-"https:" positions at Virginia Tech in United States
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senior administrators, key business leaders, faculty, staff, institutional boards, volunteers, and/or donors. Overtime Status Exempt: Not eligible for overtime Appointment Type Regular Salary Information
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Regular Salary Information $140,000 - $155,000 Hours per week 40+ hours per week Review Date January, 26th 2026 Additional Information This position requires occasional travel and work hours that includes
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. *Demonstrated knowledge of risk management practices. *Experience or training with cash/revenue management. *Demonstrated knowledge of computer programs, including Windows, Microsoft Office Suite, or similar
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and distribution systems, including unit load design and supply chain efficiency. • Collect, process, and analyze experimental data from mechanical testing equipment; prepare technical reports and
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including the candidate's ideas for supporting an educational environment consistent with the Virginia Tech Principles of Community, and Names and contact information for three professional references
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containers including transportation, logistics, storage conditions, and support conditions. • Collecting and analyzing test data, analysis and presentation of results. • Publishing results in reports, refereed
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their background and experience aligns with the qualifications for the position Name and contact information for three professional references a PDF or other document that lists websites and social media sites
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must be able to perform routine institutional painting tasks. • Ability to recognize and understand industry terminologies of multiple trades. • Ability to use a computer, keep accurate and complete
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the university. • Assist with special projects, reconciliations, reporting requests, and audit support as assigned by the General Accounting Manager. • Participate in system testing, upgrades, and data validation
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instream habitat assessments, statistical analysis of biological data, writing technical reports, and developing and managing large-scale databases across multi-taxa and sampling-collection specific datasets