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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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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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-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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analysis, secondary data analysis, or statistical modeling. Strong scientific writing skills and demonstrated ability to communicate complex findings to diverse audiences. Demonstrated ability to research
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square feet and high-performance computing facilities at the DOD Supercomputing Research Center. What will I be doing? Process-based flood frequency analysis (FFA) integrates recent advances in
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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 problems that also depend
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analysis, practical laboratory skills, and familiarity with infectious disease or immunology research. Ability to integrate computational and experimental approaches to explore complex biological questions
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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