98 high-performance-computing-postdoc positions at University of Tennessee at Chattanooga
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high temperature performance. The work will also be closely coupled with modeling efforts providing insight and assistance with the experimental conditions and the materials that will be investigated
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program partner in the NIH All of Us Research Program (allofus.nih.gov). UTK has recently established an organizational memorandum of understanding with CHS, and this cluster hire will assist in
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-track position at the rank of Teaching Assistant Professor in Japan Studies. This is a one-year appointment, renewable contingent upon performance and funding, to begin Fall 2025. This innovative position
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-tenure-track teaching assistant professor with a focus in sport analytics and teaching interests in sport data science and use of artificial intelligence tools that spans areas related to performance
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University of Tennessee at Chattanooga | Bakers Mills, New York | United States | about 14 hours ago
entrepreneurial academic administrator to serve as Associate Dean. The Baker School is now serving nearly 150 students in its second year of operation. The school’s graduate programs are growing rapidly and the
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and biological science studies. On the computational front, focal areas may include combinatorial algorithms, artificial intelligence (AI), and high-performance computing to enable efficient analysis
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high-quality client representation and are prepared for graduation and practice. Later in the fellowship, the fellow will supervise students on their own. The fellow will also work with full-time
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supporting campus faculty approaches to writing instruction through professional development workshops, participating in community outreach with the Center’s Flagship high school writing project, providing
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leadership to the university, to local/state national/international professional organizations, and to the community; (6) fulfilling advising and administrative duties/service as required by the program
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recognized research program with interdisciplinary connections across the CRI network at UT and ORNL. Contribute social science expertise to collaborative studies on the transition to circular bioeconomy