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the maximum daily exposure (MDE) values for inactive ingredient (excipients) that lead to quarterly IID updates, contributing to IT initiatives and analysis activities; and engaging with improvement efforts
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(BDCL), within the Nutritional Biomarkers Branch (NBB), Division of Laboratory Sciences (DLS), National Center for Environmental Health (NCEH), develops and applies analytical methods for measuring
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the quantitation of water-soluble biomarkers (e.g., vitamins B1, B2, and B6, methylmalonic acid) in serum, plasma, or whole blood matrices. Analytical method development and validation: You may gain experience in
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genetic, genomic, and phenotypic datasets, to support research and crop improvement. Basic and applied research is also conducted within this project. You will use methods in computational biology to
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sites related to mining, smelting, metal production, lumber or paper processing, and agriculture applications and staff balance multiple concurrent projects. You will have the opportunity to conduct 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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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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other chronic diseases. An important component of a public health response to address these behaviors is surveillance. Surveillance is used to track the behaviors as well as their environmental and
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methods to apply to genomic resources, or to develop novel genome annotation methods to apply towards existing genomic resources. Developing and customizing pipelines for automation of data processing
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of the salmon feed. Determining the protein and lipid content, and fatty acid and amino acid profiles of potential ingredients is an important component for evaluation. This experience will enable you to learn