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Innovation Institute, Veterinary Medicine, Interdisciplinary Graduate Program on Infectious Diseases, and the Institute for Critical Technologies and Applied Sciences (ICTAS). The successful candidate will be
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Job Description Applications are invited for the position of Undergraduate Academic Advisor in the College of Science at Virginia Tech. This is a full-time administrative and professional faculty
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the public. • Demonstrated computer experience. Skills and Abilities • Excellent communication and interpersonal skills. • Ability to work with a culturally diverse department and the university community
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Educational Background: Bachelor’s degree required; equivalent relevant experience will be considered. Event Planning: Extensive professional experience in planning and executing special events. Event Coordination: Documented history of success in selecting event dates, managing calendars,...
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member within the Clinical Science Program in the Department of Psychology. Dr. Margherio's research lab focuses on prevention and intervention for behavior problems and/or substance use in teenagers, with
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• Master’s degree in higher education administration, student affairs, or a related field. • Experience in student admission services, academic advising, administrative or program support in a
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Sports Clubs, in a Regular twelve-month, 100% administrative professional appointment. 3) You’ll be responsible for the administration and management of the university's sport club program consisting of 30
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member of the college’s fiscal team. Required Qualifications Fiscal and/or administrative support experience in a professional setting. Understanding of financial principles and procedures. Computer
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throughout Virginia Tech’s learning environment. Required Qualifications - Master’s degree in educational technology, data science, information technology, computer science, or a related field - Significant
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interdisciplinary team at the NSF COMPASS Center, which integrates tissue engineering, stem cells, materials, virology, computational biology, machine learning, molecular environmental engineering, science