373 information-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Virginia Tech
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care. Required Qualifications • Bachelor’s degree with significant experience in educational technology, instructional technology, computer information systems, or a related field, preferably within
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Job Description The Clinical Science and Skills Coordinator provides administrative, operational, and programmatic support for the Clinical Science and Skills domain within the Virginia Tech
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procedures • Work with and advise Deputy Executive Director on IT security policies and standards Required Qualifications • Bachelor’s degree in Business Information Technology, Computer Science, or a related
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field related to data analysis, information technology, instructional technology, natural resources, or a related discipline; or equivalent level of training and experience; • Demonstrated ability
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Duties and responsibilities: vary based on departmental needs. They may include but are not limited to performing daily lab routines, ordering supplies, monitoring inventory, and maintaining equipment service records and contracts. Duties may also include maintain records of research, laboratory...
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Job Description The Virginia Maryland College of Veterinary Medicine is seeking qualified candidates for an IT Support Center Analyst. The tasks include a range of activities from working
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oversees operations to ensure continuity of service. Required Qualifications -A terminal degree in a field related to the job duties, such as a Masters in Library and/or Information Science (MLS, MLIS, MIS
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Job Description The Department of Agricultural and Applied Economics at Virginia Tech, and in particular an interdisciplinary research team led by Dr. Elinor Benami, is seeking a highly motivated
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, data sciences, student affairs administration, public administration, statistics, or a related field with a research or evaluation emphasis. Considerable experience developing and leading the planning
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technologies: ForceDecks, NordBord, ForceFrame - Data visualization tools: Tableau, Power BI - Data analysis & coding tools: R, Python - Machine Learning: Predictive modeling, feature engineering, model