245 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" positions at Virginia Tech in United States
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systems for accelerating computational catalysis and experimental design. The successful candidate will contribute to building AI-native frameworks that combine first-principles modeling, machine-learning
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. • Proficient communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning
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work environment. You will have the opportunity to engage with a diverse range of individuals, learn from experienced professionals, and contribute to the success of both the office and the university
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Job Description Incumbent will learn to perform tasks in the Mechanical trades (Plumbing, Steam fitting, HVAC, and Maintenance Millwright and Welding) in support of building maintenance/installation
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• Interest in continuous learning Overtime Status Exempt: Not eligible for overtime Appointment Type Restricted Salary Information Commensurate with Experience with a minimum of $50,000 Hours per week 40
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origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation
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. The ideal candidate will lead the development of new courses and learning experiences in artificial intelligence (AI) and machine learning for audio and music platforms. The faculty member will maintain
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reading. In Virginia Tech’s Division of Student Affairs, that’s exactly what we do every day—guiding, nurturing, and supporting students as they learn and grow into the leaders and world-changers of today
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Qualifications Bachelor’s degree or equivalent combination of education and experience; Knowledge of advanced accounting principles and practices; Capacity to learn and flow University financial policies and
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending