81 parallel-computing-numerical-methods positions at University of Tennessee at Chattanooga
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curriculum Collaborates with faculty and administration to develop programs that support student success within the nursing program. Identifies trends in student performance and recommends initiatives
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Tenure-Track Positions, Open Rank, Foundational AI Cluster Search The University of Tennessee - Knoxville: Knoxville Academic Units: Tickle College of Engineering: Electrical Engr & Computer
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Science Location Jackson, TN Open Date Sep 26, 2024 Description · Develop, deliver and evaluate an externally funded row crop Precision Agriculture Technology Extension Program employing innovative
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nationally recognized program primarily focused on natural resource economics and online teaching. This is a 9-month, non-tenure track, faculty position. This individual will support the undergraduate program
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a PhD (or equivalent) from an American Psychological Association (APA) accredited program in clinical or counseling psychology, completed an APA-accredited clinical internship, and be licensed
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of graduate teaching assistants as part of the departmental Graduate Student Teaching Advising Program. Others network with Math Instructors from other institutions through the MAA CoMInDS project. Outstanding
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University of Tennessee at Chattanooga | Bakers Mills, New York | United States | about 17 hours ago
the Associate Dean, and the allocation and development of faculty teaching and research resources to meet program growth is a key part of the Associate Dean’s portfolio. KEY OPPORTUNITIES AND CHALLENGES
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candidates with a completed doctorate degree in Information Systems, Operations Research, Computer Science (AI/ML), or related fields, with a business background or a focus on business applications. ABD
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are interested in excellent candidates in all areas of experimental and theoretical quantum information that can complement existing interdisciplinary efforts in applications of quantum computing (including those
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development, and attract research funding and support for graduate students. Candidates with deep experience in one or more of the following areas are encouraged to apply: (1) computational fluid dynamics