95 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Tennessee at Chattanooga
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computational boundary plasma physics and multiscale materials modeling techniques ranging from the SOL-PS and GITR codes for boundary plasma and impurity modeling, in addition to first principles- based
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, United States Open Date Apr 22, 2025 Description The Construction Science and Management (CSM) Program at the University of Tennessee, Knoxville (UTK) is seeking a dynamic individual for a faculty position at the
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. The University of Tennessee is one of two land grant institutions in the state and is the state’s public flagship university. The School of Natural Resources is the comprehensive natural resources program in
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faculty appointment at the Assistant Professor level using molecular, genetic, biochemical, ecophysiological, computational, mathematical modeling, and/or cell biology approaches to study microbes
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clinical patients. A full-time Veterinary Social Work program offers counseling services for clients, faculty, staff, and students. A state-of-the-art Teaching, Learning and Simulation Instruction Center is
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research. Responsibilities include maintaining an active program of research, teaching undergraduate and graduate level courses (2/2 load), and performing service to the school, college, university, and
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University of Tennessee at Chattanooga | Tennessee Ridge, Tennessee | United States | about 16 hours ago
position, 75% Research and 25% Teaching. POSITION DESCRIPTION AND RESPONSIBILITIES Responsible for the comprehensive leadership of the UTIA Soybean Breeding & Genetics Program. Incorporate genomic selection
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department that places significant emphasis on cross-functional interaction and integration both within and outside of traditional supply chain areas. The applicant's research program should reflect
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of Natural Resources. The successful candidate will develop, implement, evaluate, and report on a comprehensive statewide educational program for private (rural and urban), nonindustrial landowners
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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