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scientists and subject matter experts. The opportunity also includes educational exposure to generic drug user fee program planning, workflow analysis, process documentation, and knowledge management
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trials, multiple endpoints, adaptive designs, Bayesian design and analysis methods, estimands, meta-analyses, benefit-risk analyses, subgroup analyses, biosimilars, patient experience data, bioequivalence
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, integration, and analysis of large, diverse datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through
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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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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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analysis and documentation. The project may provide exposure to Sanger sequencing, Next Generation Sequencing (NGS), PCR-based platforms such as QIAcuity digital PCR (dPCR) system, and data analysis
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texture measurements on vegetable tissue. You will participate in data collection and analysis and collaboratively advance the development of standard operating procedures for advanced microscopy. Learning
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and performing data collection and analysis pertaining to pre-clinical research for the development and optimization of drug products, advanced therapies for the treatment of hemorrhagic shock and
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. Please note that field research may occur during adverse weather (e.g., extreme heat or cold, during rainfall events). Laboratory activities may include processing soil, plant or water samples for analysis
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of the research project, research may also incorporate advanced optical diagnostics, quantitative image analysis, computational modeling, and remote sensing technologies to improve understanding, evaluation, and