88 parallel-and-distributed-computing-phd-"Meta"-"Meta" positions at University of Tennessee at Chattanooga
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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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: The head is responsible for care of the academic program through recruitment and development of the faculty, including recommendation for hiring, promotion, and salary increases; assignment of courses
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with backgrounds and training in all areas of chemistry. A PhD in chemistry is required; relevant postdoctoral training or classroom teaching experience are considered as positive attributes
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candidates at the Assistant, Associate, or Full Professor level to develop and lead a vibrant and impactful research program focused on advanced composite materials and manufacturing. The successful candidate
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on Professional Responsibility, Contemporary Moral Problems, and Bioethics. Qualifications Position requires demonstrated excellence in teaching and a PhD in Philosophy at the time of appointment. Specialization is
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support staff. Approximately 180 graduate and 160 undergraduate students are enrolled in the department’s BS, MS and PhD programs. The department website: https://chem.utk.edu outlines current strengths
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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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. 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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, 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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faculty appointment at the Assistant Professor level using molecular, genetic, biochemical, ecophysiological, computational, mathematical modeling, and/or cell biology approaches to study microbes