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/ . Qualifications Required qualifications include: · All candidates must have an earned doctorate (Ph.D. or Ed.D.) in higher education or other related fields that include a focus on elements within higher
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, casting, forging, metal-based additive manufacturing, metrology, industry 4.0+, artificial intelligence, machine learning, welding, design, simulation, smart manufacturing, or advanced materials. Given
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that enable comprehensive trade-off analysis for land and resource managers. 3. Applying advanced operations research techniques, such as multi-objective optimization, stochastic programming, and simulation
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Initiative (CRI) on Circular Bioeconomy Systems (CBS) includes a significant research component targeting novel composite materials from agricultural and forest biomass to further applications in low-carbon
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and neuro-cognitive science, AI/ML and dynamical system analysis, representation learning, and uncertainty quantification with a tie to human intelligence. For an Appointment at the Assistant Professor
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, Knoxville & UT-ORII CRI Open Date Jul 01, 2025 Description This position is a component of the University of Tennessee - Oak Ridge Innovation institute’s (UT-ORII) Development and Advancement
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innovative, integrative approaches to large-scale genomic data analysis. Successful candidates will complement and expand existing departmental strengths in ecology, evolution, animal behavior, genetics, and
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-track assistant professor with a focus in sport analytics and research interests in sport data science and use of artificial intelligence tools that spans areas related to performance analysis and health
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Prizes, contributed to the discovery of elements, received hundreds of R&D 100 Awards, and more. The University of Tennessee System The University of Tennessee System includes five universities
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to maximize productivity, affordability, quality, and safety across the construction lifecycle. 2. Develop and integrate onsite and offsite optimization processes for the high-performance materials, component