12 Electrical Engineering research jobs at University of Tennessee in united-states-of-America
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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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, surgeons, and external partners. Present research findings in conferences, workshops, and academic journals. Qualifications Requirements: Ph.D. in Electrical Engineering, Robotics, Biomedical Engineering, or
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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
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Post-Doctoral Research Associate - Mech, Aero, & Biomed Engineering - 24000000AM Description Post-doctoral research associate: Hybrid manufacturing We are seeking a highly motivated and skilled post
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. The successful candidate will employ interdisciplinary approaches including molecular biology, biochemistry, and genomics techniques to elucidate a plant pathway for insect hormone biosynthesis and engineer
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research objectives. Qualifications Requirements: Ph.D. in Mechanical Engineering, Electrical Engineering, Biomedical Engineering, Computer Science, Robotics, or a related field. Expertise in one or more of
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from Physics, Materials Science, Chemistry, Mathematics, and Electrical Engineering. Research will involve feedback loops between theory and experiment, evaluating quantum materials design & growth and
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researchers from Physics, Materials Science, Chemistry, Mathematics, and Electrical Engineering. Research will involve feedback loops between theory and experiment, evaluating quantum materials design & growth