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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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, machine learning, deep learning, artificial intelligence, operations research, and decision support systems. Candidates should have the appropriate academic background and expertise to teach and conduct
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with a minimum of one year eligibility remaining. •Strong expertise in first-principles modeling or molecular simulations relevant to catalysis, and experience with machine learning models. •Deep
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innovative professional experience matched by a deep commitment to connecting students to professional success in today's creative economy, both pre- and post- graduation. This position requires someone who
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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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through external grants or other mechanisms. External funding is also expected to support student research and experiential learning opportunities. The specific appointment split will be determined based
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teaching and learning using service design principles and methods. As a member of the Digital Learning Innovation group, the UX Researcher strives for a balanced, holistic view informed by a deep
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an internationally recognized PhD program in engineering education, along with an outstanding first-year program and a growing suite of interdisciplinary undergraduate programs. The department employs 29 full-time
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to align these opportunities with your long-term career goals. Required Qualifications • Ph.D. in Civil Engineering, Hydrology, Computer Science, Earth System Science, or related fields. PhD must be awarded
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for audio and music platforms (e.g., MIR, machine listening, deep learning for audio, dataset curation/ethics, responsible generative practices) and integrate AI across the curriculum. Research & Creative