115 parallel-computing-numerical-methods-"Prof" positions at University of Tennessee at Chattanooga
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, computer science, engineering, or related fields. Candidates must be able to develop and deliver online undergraduate and executive courses in applied artificial intelligence, data science, analytical methods, data
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in agricultural leadership, education, and communication. RESPONSIBILITIES 70% Extension • Develop, deliver, lead and evaluate an Extension educational program called Next Chapter (college and
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theoretically-oriented research agenda that will lead to publication in peer-reviewed outlets (journals and/or books). Candidates should also have strong quantitative and/or qualitative methods skills. Preference
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in music education. The candidate should also work collaboratively with other College of Music faculty to sustain and support the music education program, maintain a research/creative/scholarly
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: Theatre Location UTK Open Date Aug 21, 2025 Description The successful candidate will serve as the head of the MFA Lighting Design Program. Responsibilities include teaching courses in lighting design for
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program concerning the placement and performance of guitar students within the ensembles. Coach small/large jazz ensembles. As needed, teach courses including improvisation, jazz theory, class guitar and
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expected to develop a vigorous, externally funded research and instructional program in the broad field of climate change resiliency from an Earth Systems approach. The successful candidate is expected
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undergraduate and graduate online teaching program. This position will coordinate and develop fully online undergraduate and masters programs in agricultural business; 2) teach undergraduate and graduate courses
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histopathology services. Faculty in Biomedical Engineering will also benefit from access to UTK’s Clinical Core Facility Program and the Center for Population Health (CPH), which provide state-of-the-art resources
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the School’s existing research and teaching programs. The successful candidate will develop a research and teaching program focused on educating applied data scientists, with an emphasis on natural resource