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improved agronomic performance via resistance to abiotic and biotic plant stresses, seed yield, and utility in turf, forage, and cover cropping systems. Learning Objectives: This opportunity is will provide
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artificial intelligence and machine learning, will be woven through each of these three areas. Benefits to you as a SMaRT Intern: The interdisciplinary atmosphere provided at UT-ORII will expose you to team
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stratigraphy, weak layer formation, and avalanche initiation. Enhancing spatial and temporal snowpack datasets through field measurements, automated instrumentation, and remote sensing. Collaborate
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presentations, technical reports, posters, abstracts, and manuscripts. Activities may be tailored your scientific background, interests, and professional development goals. Learning Objectives: During
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reporting, and develop practical tools and infrastructure for laboratory scientists. You will collaborate with bioinformaticians, laboratorians, epidemiologists, data scientists, and other public health
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and global competitiveness of the U.S. farming industry through creation of enhanced maize genetic resources. Learning Objectives: You will gain experience within a collaborative, multi-disciplinary
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from cottonseed processing co-products. Learning Objectives: You will collaborate in a research team that includes chemists, a plant geneticist, and plant physiologist. When completed, you will have a
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, tested, and refined. The experience includes opportunities to learn about CFD/FSI techniques, open-source scientific software development, interface design for technical tools, and strategies for creating
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nucleic acid extractions, amplicon sequencing, data management and analysis. You will learn how to identify risks and improvement opportunities, ensure compliance with established policies and agency
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medical devices and systems using advanced technologies such as automation, artificial intelligence and machine learning, robotics, telemedicine, advanced displays, computer vision, and data-driven decision