115 parallel-computing-numerical-methods-"Prof" positions at University of Tennessee at Chattanooga
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the school include: Integrative design technologies: AI, extended reality tools (AR, VR, etc.), and/or interactive human-robot-computational design Optimization and resiliency in experimental interiors
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, 10% Teaching) The successful candidate will be expected to: 1) develop a nationally-recognized Extension program focusing on agricultural law 2) teach one undergraduate law course in the Department
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on plant ecosystems. Faculty in this position are expected to establish an innovative, externally funded research program and contribute to the departmental teaching and training mission at both
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teaching in undergraduate and graduate classes in areas related to elementary education. Evidence of the potential for effective collaboration across stakeholders in program planning, curriculum development
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Resource Economics Location The University of Tennessee, Knoxville, TN Open Date Aug 20, 2025 Description The successful candidate will be expected to: 1) develop a nationally- recognized research program
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programs: Participate in program and course revisions. Revise assigned courses to reflect program outcomes, AACN essentials, state board of nursing minimum standards, current evidence, and best practice
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programs, including an MS degree program in Engineering Management. The ISE Department offers baccalaureate, master's, and Doctoral (PhD and DEng) degrees and currently has 270 BS, 162 MS, and 134 Doctoral
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as Program Manager for the newly established UT Japan Center by working with the Center Directors to support strategic initiatives; coordinating conferences, workshops, and other events; managing
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the opportunity to lead multiple constituencies and further develop a contemporary, diverse, progressive academic program to enhance the success of University of Tennessee College of Veterinary Medicine graduates
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as assigned. While the candidate may be hired to primarily teach in a specific program or program level, teaching assignments are based on UT CON needs as well as individual faculty member expertise