376 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Virginia Tech
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. Your responsibilities and compensation vary based on your experience, knowledge, skills, abilities, desire to learn and ambition. Reasons to apply today: • Engagement in personal, professional and
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stakeholders across the region to advance equitable, high-impact work-based learning across the region. Represents Region 2/CPD at relevant state/regional convenings and professional associations. Attends
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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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to detail. Strong computer skills in electronic file management, word processing, database management, and spreadsheets. Experience learning and working in a dynamic environment as a part of a team and
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committee assignments. - Perform other job-related duties as assigned. Required Qualifications - Master’s Degree - Prior military experience as a commissioned officer, such as in the grade of O-5 or O-6
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\jurisdiction as approved by the Virginia Board for Contractors. Incumbent will have 6 months from hire date to acquire a Virginia license if they currently hold a license from a reciprocal jurisdiction
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an initial term of three years and the possibility of renewal and promotion. Virginia Tech’s Industrial Design program is a vibrant, future-focused community where students learn to design products, services
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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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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
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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