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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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analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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expensive and dangerous health threats, and responds when these arise. Research Project: You will gain training and experience in the analysis of large population-based and healthcare databases within
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(ML), to help solve complex agricultural problems that also depend on collaboration across scientific disciplines and geographic locations. In addition, many of these technologies rely on the synthesis
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, and sub-daily to evolutionary time scales. One of the goals of the SCINet Initiative is to develop and apply new technologies, including AI and machine learning (ML), to help solve complex agricultural
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evaluation, performance measurement, portfolio analysis, evidence-informed decision support, enterprise-level public health planning, multidisciplinary collaboration, and the translation of complex technical
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, Analysis, and Services Program (GRASP) scientists. Learning Objectives: When training with the SSS, under the guidance of a mentor, you will further your understanding of micro- and nanoplastics (MNPs) and
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phylogenetic analysis; Automate the production of tables, figures, visualizations, and quality-control summaries; Integrate genomic, laboratory, and epidemiologic data from multiple sources; Train to develop
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, or related data manipulation and analysis software Strong scientific and technical writing skills Experience with analyzing complex surveys, developing cohort analyses, and testing health outcomes in cross
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the past five years. Preferred skills: Programming and analytical skills in SAS, SUDAAN, Stata, R, Python, or related data manipulation and analysis software Experience analyzing complex surveys, developing