384 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Virginia Tech
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Demonstrated organizational, logistics, and customer-service skills supporting time-sensitive academic activities. Proficiency with Microsoft Outlook and Excel; ability to learn/use Canvas, One45, Teams, and
-
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
-
programmatic needs, the faculty member may teach courses in music general education or in an area aligned with the candidate’s expertise. Duties and Responsibilities · Teach applied oboe and bassoon
-
. 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
-
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
-
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
-
& 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
-
\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
-
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
-
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