14 Electrical-Engineering research jobs at University of Tennessee in USA in United States
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sequences by providing expert research subject matter expertise. Qualifications Qualifications: Candidate should have Doctoral degree in Electrical Engineering or other relevant field with a strong
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Post-Doctoral Research Associate - Global Computing Lab - 240000019Z Description Postdoctoral Research Associate The Global Computing Lab (GCLab), in the Department of Electrical Engineering and
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or development into scholarly works. Key responsibilities § Leading funded research program: Perform duties and responsibilities assigned from the current funded programs in the MTRC. § Developing novel ideas
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. The research aims to leverage experimental and computational study-based understanding of the interaction of transport (mass, charge and heat) with performance and durability of these systems. Position
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QUALIFICATIONS: A Ph.D. in agronomy, plant science, agricultural engineering, or closely related field is required. Candidates who are in process of obtaining the degree may be considered but degree must be
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candidate will employ interdisciplinary approaches including molecular biology, biochemistry, and genomics techniques to elucidate a plant pathway for insect hormone biosynthesis and engineer the pathway
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Post-Doctoral Research Associate- Materials Science & Engineering - 24000000PO Description Department of Materials Science and Engineering University of Tennessee ay Knoxville Scope of the project
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independent judgment, leadership, and collaboration, underpinning significant advancements in research and development. Qualifications Qualifications: A Ph.D. in Computer Science, Electrical Engineering
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Description: Postdoctoral positions in plant genetic engineering are available in the laboratory of C. Neal Stewart, Jr. at the University of Tennessee in the Department of Plant Sciences. Positions are grant
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and clinical data. Qualifications Qualifications PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, or a related field. Strong background in machine learning, data