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interacts with the human body—making it a key factor in both product performance and consumer satisfaction. You will also apply statistical and machine-learning tools to explore how cotton fiber properties
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excellence of our agriculture. The vision of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: This research is a component of ARS National
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participant to train on public health activities related to environmental health assessments, data analysis, community engagement, and scientific communication. The appointment will provide structured research
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identify conserved genetic elements across a range of taxonomic depths, to help determine elements that have been important in the many crops in the legume plant family. This fellowship will play a part in
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managed honey bees (Apis mellifera) colonies across Illinois. This will be done alongside comprehensive surveillance of known pathogens circulating at local and regional apiaries. An important component of
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tools are used to characterize genetic and epigenetic variation. Identify and differentiate types of genomic variation (e.g., SNPs, CNVs, DNA methylation patterns) and functional genomic elements (e.g
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chemical composition, spatial heterogeneity, polymer–drug interactions, and microstructural features within complex pharmaceutical matrices. Advance skills in chemometrics and quantitative data analysis by
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will be a part of data collection, analysis, modeling and simulation for this project. Learning Objectives: Under the guidance of a mentor, you will have the opportunity to learn about drug development
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for the characterization and development of cultivars in ornamental (Hibiscus) and small fruit (Blueberry and Muscadine grape) crops. This research is a component of ARS National Programs 301 (Plant Genetic Resources
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on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis, integration, and analysis of large, diverse datasets that benefit from high