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CDER labs includes in-depth analysis of complex and biologic drug products. Research activities require extensive experimental research to generate the data and results important to advance regulatory
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-basis. FDA Office and Location: A research opportunity is available immediately with the Food and Drug Administration (FDA), Office of Commissioner (OC), Public Health Strategy and Analysis Staff (PHSA
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, and dose-finding study results. Competency in systematically collecting and organizing complex regulatory and clinical data from multiple sources within FDA's information systems. You will gain
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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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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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(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