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Plotly, Dash, and R Shiny to translate complex data into clear, actionable visual analytics and dashboards. Learning Objectives: Throughout the fellowship, you will engage in structured learning
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to complement your education and support your academic and professional goals. Along the way, you will engage in learning activities and research in several areas. These include, but are not limited to: Assess
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interferences. Method evaluation and validation – You may learn to prepare validation plans, assess performance characteristics such as accuracy, precision, analytical measurement range, limits of detection
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analytical technique. Build an understanding of pharmaceutical dissolution and drug-release principles and learn to evaluate relationships between formulation microstructure, chemical distribution, material
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and bee samples for research analyses. Learn how chemical residues are measured and interpreted to assess insecticide exposure risks to pollinators. Gain hands-on experience with advanced analytical
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protein drugs and complex generic drugs of novel oligonucleotide. The resulting analytical data will support product-specific guidance development, regulatory review, and scientific evaluation of complex
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, data engineering, data analytics, artificial intelligence, machine learning, deep learning, natural language processing, and automation using modern tools and techniques. During this fellowship, you will
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unreported PFAS, contributing to enhanced food safety. Learning Objectives: Under the guidance of a mentor, you will learn to conduct research in the food safety arena, develop novel advanced analytical
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surveillance initiatives. Laboratory data-management skills: You will learn to operate various instrument software and a laboratory management database for analytical result review, laboratory information
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reports/visualizations and presentations, and collaborating with multidisciplinary teams. Learning Objectives: You will train with CDC’s Center for Forecasting and Outbreak Analytics, gaining hands