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conducts regulatory science and research activities based on quantitative approaches. Some of the responsibilities residing in DQMM include providing quantitative method support for guidance development
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to join this development team as a fellow and learn to create, evaluate, and validate rapid, accurate, and sensitive diagnostic methods for detecting disease pathogens. The fellow will have an opportunity
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. The Biologics Development Module (BDM) is a unique applied research laboratory space within NBAF tasked with the mission of transitioning research developments into products. The BDM operates at a BSL-2 level of
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candidate for this research opportunity. As the selected candidate and under the guidance of a mentor, you will have the opportunity to learn and gain experience in the development and execution of a
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systems. Research fellows will engage in a collaborative environment that fosters the development of analytical, problem-solving, and communication skills. Why should I apply? Under the guidance of a mentor
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Technology Applications is offering an educational opportunity focused on discovery, design, development and delivery of globally impactful solutions for military relevant infectious diseases, brain health
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manufacturing conditions (media, flask vs. bioreactor etc) Develop SLE co-cultures to investigate the role of pericytes in modulating vascular inflammation Professional development through publication in high
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. The Biologics Development Module (BDM) is a unique applied research laboratory space within NBAF tasked with the mission of transitioning research developments into products. The BDM operates at a BSL-2 level of
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permeability assays and imaging-based analyses); 3) Analytical method development using fluorescence microscopy, ELISA, and LC–MS for drug quantification; 4) Data management and interpretation workshops
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datasets, investigating patterns in toxicological data using statistical methods, contributing to the development of reference compound libraries for predictive model validation, and developing AI