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. Additionally, we intend to measure root water uptake using sap flow meters. The data will be integrated using recently developed physics-informed neural networks in order to translate apparent resistivity data
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approaches to study genes involved in crop trait regulation. Develop skills in analyzing gene function and biochemical pathways associated with plant growth, biomass composition, and crop improvement. Learn
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and related public health outcomes. Develop skills in longitudinal and trend analyses of survival, mortality, and disease burden. Contribute to research aimed at improving understanding of population
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propagating and maintaining diverse plant species; conducting greenhouse inoculation experiments; evaluating symptom development; collecting plant tissue samples; and applying serological and molecular
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diverse turfgrass germplasm, you will learn methods for evaluating adaptation, color, quality traits, and environmental stress tolerance that support the development of improved turfgrass cultivars. You
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assessment and scientific knowledge development within a federal research setting. Learning Objectives: Through this mentored research experience, you will develop knowledge and research skills in
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participation opportunity is available in the Chronic Viral Diseases Branch (CVDB) to train on epidemiologic research using ME/CFS clinical and population-based datasets. Under mentor guidance, you will gain
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opportunity to learn to: Understand foundational and advanced concepts in pathogen-host interactions and Mycoplasma pathogenesis, with a focus on Mycoplasma mycoides subsp. mycoides. Develop practical
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. The two primary goals will be to investigate mechanisms that contribute to successful seed germination, especially at cool temperatures, and to use genome editing tools to modify lipid flux in developing
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methods for evaluating AI tools for public health applications; participate in the development and testing of AI-enabled analytical approaches, prototypes; examine how AI can help integrate and interpret