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persistent problem in applied AI: statistically accurate models routinely fail when they meet the organizations and ecosystems meant to use them. Models are misaligned with local procedures and decision
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
promoting innovative, science-based quantitative decision-making throughout the drug development life cycle. We provide statistical leadership, expertise, and advice to foster the expeditious development
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concepts, including crew interaction, trust, workload and decision-making in nominal and contingency situations; contributing to the definition of lifecycle processes for AI-enabled systems, including
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? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers studying adversarial interactions, multi-agent systems, and decision
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 10 hours ago
, maintained, and leveraged for strategic decision-making. You will also have the opportunity to strengthen your professional skills in communication, and collaborative teamwork in a multidisciplinary
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, organizational, communication, and decision-making skills Additional Qualifications · Interest in & experience with biological data (e.g., microbiome, inflammation) · Interest in & experience with aging research
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that are considered in making compensation decisions, including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 10 hours ago
public health task by making sure that safe and effective drugs are available to improve the health of people in the United States. As part of the U.S. Food and Drug Administration (FDA), CDER regulates
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quantitative analysis to determine their pharmacological and sensory properties. A major strength of the project is its integration of molecular pharmacology with evolutionary and organismal biology. You will
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decision making increasingly relies on analysing very large datasets collected through digital technologies, administrative systems, sensors and longitudinal studies. While these datasets offer unprecedented