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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
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of values and ethics. Qualifications · Minimum Requirements: Must have completed all PhD degree requirements by hire date, Ph.D. in chemistry or Chemical Engineering o An excellent track record
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to the implementation and perpetuation of values and ethics. Qualifications · Minimum Requirements: Must have completed all PhD degree requirements by hire date, Ph.D. in chemistry or Chemical Engineering o
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Qualifications: Applicants must have a PhD in molecular biology, cell biology, biotechnology, biomedical engineering or a related-field. Candidates who are in process of obtaining the degree may be considered but
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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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creative individuals. • Ph.D. in Mathematics, Computer Science, Statistics, Physics, Engineering, or a related field • Prior experience in modeling viral infections, bacterial infections, and/or immune
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, pharmaceutical production, nutrient biofortification, and remediation of environmental chemicals. The goals of these projects will be to reimagine plants as engineered devices capable of achieving complex non
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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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. Qualifications Requirements: Applicants may come from any field in the social sciences, humanities, business, or engineering. Preference will be given to those who have developed an expertise in an area associated