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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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complementary and expanding expertise in geology and environmental science research with a range of new, applicable analytical facilities using both isotopes and trace elements. A successful candidate’s research
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intelligence, machine learning, process modelling, life cycle assessment and technoeconomic analysis. Applicants with experience in data science applications to bio-based energy and materials are encouraged
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Analysis (FIA) unit . Potential collaborative groups at the University of Tennessee include the Business Analytics & Statistics Program , the UT Institute of Secure and Sustainable Environment , the Global
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of the microbiomes of phototrophs to environmental change Developing quantitative tools for the analysis of plant microbiome systems data, including but not limited to, machine learning, metabolic modeling (e.g. flux
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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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-off analysis for land and resource managers. 3. Applying advanced operations research techniques, such as multi-objective optimization, stochastic programming, and simulation, to integrated decision
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fully remote. Qualifications The College of Emerging and Collaborative Studies at the University of Tennessee is seeking candidates with a passion for teaching and analysis in a way that connects deeply
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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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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