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response to military relevant stressors, and in identifying nutritional countermeasures. Various methods including molecular assay techniques (e.g. qPCR, ELISA, confocal microscopy, -omics, immunoblots
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well as groundwater geophysicists, hydrologists and economists. Participation with the SAWS unit will grant access to USDA physical and computational resources, including geophysical instrumentation, soil and plant
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, implementation science, program planning, evaluation, and knowledge translation while gaining an understanding of CDC's role in advancing nutrition and chronic disease prevention. You will receive training through
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. Training activities will include analyzing existing datasets and generating new molecular and metabolic data using advanced sequencing technologies and bioinformatics methods. Throughout the project, you
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to reduce crop losses and enhance sustainability. In alignment with ARS National Program 301, we aim to leverage plant genetic diversity and genomics to develop improved germplasm and breeding tools
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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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clinical trial development Receive training in food pattern modeling methodologies Collaborate with a broad range of scientists and develop a strong network Develop methods to investigate the links between
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debris that align with your career interests, knowledge, and skills. Activities may include reviewing and synthesizing existing scientific literature; developing new concepts and methods; and extracting
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evaluating potential feed ingredients by determining protein and lipid content, as well as fatty acid and amino acid profiles. Develop skills in nutritional analysis methods, including sample preparation
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and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory toxicology assessment, computational modeling