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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
tokenization, text classification, and named entity recognition. Compare traditional rule-based NLP approaches with modern machine learning-based approaches and articulate when each may be appropriate in a
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 12 hours ago
on the development and application of artificial intelligence, machine learning, mechanistic modeling, mathematical modeling, and simulation methods to pharmaceutical manufacturing and product characterization
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
artificial intelligence (AI) and statistical programming skills in R and/or SAS by implementing end-to-end machine learning pipelines, including data preprocessing, model training, cross-validation, simulation
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 2 months ago
to exploration of machine learning and deep learning approaches for tasks such as process monitoring, fault detection, real-time release testing, and the prediction of quality attributes from process data
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
advanced in silico prediction algorithms, analyzing machine learning approaches for toxicity pattern recognition, and participating in developing standardized computational frameworks for regulatory
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
therapeutics and generic drugs. This effort covers more than just medicines. Research Project: This project applies artificial intelligence (AI) and machine learning (ML) to advance precision medicine by
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 12 hours ago
to increase ANDA review efficiency and quality. Use and development of artificial intelligence (AI), machine learning (ML) and large language models (LLMs) to help promote business intelligence in the Agency