304 data-"https:" "https:" "https:" "https:" "https:" "https:" "P" "LaTIM Brest" positions at Virginia Tech
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Regular Salary Information $230,000 - $275,000. This position may be hired as a 10-month (academic-year), 11-month, or 12-month appointment, depending on candidate preference and departmental need
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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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and collection Pay Band 2 Overtime Status Non-Exempt: Eligible for overtime Appointment Type Regular Salary Information $39,000-$43,000 Hours per week 40 Review Date January 5, 2026 Additional
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all types of aerial lifts at heights of up to 80 plus feet Pay Band 3 Overtime Status Non-Exempt: Eligible for overtime Appointment Type Regular Salary Information $38,000-$45,000 Hours per week 40
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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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-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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an educational environment consistent with the Virginia Tech Principles of Community. Names and contact information for three references. Overtime Status Exempt: Not eligible for overtime Appointment Type
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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