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placed on the people that you are collaborating with. Required Qualifications Previous data entry and bookkeeping/accounting experience or relevant experience. Proficiency with current office computer
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The College of Liberal Arts & Human Sciences seeks an Administrative & Fiscal Coordinator to join a growing team of individuals who provide shared services support for departments and centers across
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computer lab operations, and ensure department/staff compliance with IT, Acceptable Computer Use, and FERPA regulations. Assessment and Evaluation: • Assist in data collection and assessment; prepare and
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Qualifications • Associate’s or Bachelor’s Degree in Animal Science or a similar biological science. • Valid US driver’s license. • Ability to obtain certification by the American Association for Laboratory Animal
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comprehensive technical support to end users within the College of Architecture, Arts, and Design. This role involves installing, configuring, updating, and maintaining macOS, Windows, and some Linux computers
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current office computer software such as Excel, Word, PowerPoint, and Outlook/Google. • Excellent interpersonal, communication, and organizational skills. • Demonstrated ability to write and edit
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candidate will play a key role in developing and advancing new models and simulations for Computational Fluid Dynamics (CFD) hypersonic codes. Specific tasks include developing new turbulence and transition
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). The program will bolster Virginia Tech K-12 outreach initiatives that contribute to successful engagement, enrollment, academic achievement and graduation for low-income (LI) students. The overarching goal
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responsible for program management support in assigned areas of responsibilities as needed (e.g., Satisfactory Academic Progress, Professional Judgments, Outreach and Communication, and Education Abroad, etc
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include: a doctoral or master’s degree in Statistics, Data Science, Computer Science, Mathematics, or other closely related field; a demonstrated and sustained record of achievement in the practice of data