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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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the future of computing at Virginia Tech through research, teaching, and service. The candidate will teach core courses in computer engineering—such as embedded systems, computer architecture, and network
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Job Description The Learning Specialist will work with colleagues in Student Athlete Academic Support Services (SAASS) to meet the academic support needs of student-athletes. Specifically
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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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business and entrepreneurship, or applied econometrics. • Strong quantitative skills and experience with cutting-edge techniques in data science, econometrics and machine learning, especially in the areas
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, presentation and problem-solving skills. The candidate must be able to identify highly complex problems, investigate them, address them, and learn from them. The successful candidate will have excellent customer
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courses to majors and/or Pathways general education students. The position is located on the Blacksburg campus with in-person and possibly online course modalities. The successful applicant will teach
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& Machine Learning not excluding other modeling frameworks) of safety critical socio-technical infrastructure systems. The candidate will be primarily responsible for writing and submitting refereed journal
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or Millwright tasks • Ability to recognize and understand industry terminologies of multiple trades • Ability to use a computer and keep accurate and complete records • Ability to perform work with minimal margin
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supportive 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