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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 7 hours ago
Skip to main content Zintellect will be down Saturday, October 17, 3 a.m. EDT through Sunday, October 18, at noon EDT . Please plan accordingly. Thank you for your patience. FDA NLP Consumer Data
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. Requirements: PhD in AI, Computer Science, Machine Learning, NLP, or a related discipline; or a Master’s degree with substantial applied research experience. 2-4 years hands-on experience with LLM
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access to the resources, reach, and expertise of a large pharmaceutical company to conduct breakthrough and innovative research. Responsibilities: Build novel natural language processing (NLP) and
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securely managing social media datasets and metadata from the 2020 and 2024 US Presidential elections and the 2024 UK General Election. Designing, implementing and evaluating NLP and machine-learning
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and ability to work as team leader • Excellent written and oral communication skills Preferred Qualifications • Background in antisemitism studies • Experience with R, NLP and deep learning libraries
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/ Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include
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/ Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include
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/ Machine Learning Knowledge Representation and NLP methods Clinical Informatics Bioinformatics Biomedical Ontology Public Health Informatics Nursing Informatics Imaging Informatics Duties will include
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research environment brings together faculty, postdoctoral researchers and PhD students working on multilingual and cross-cultural NLP, multimodality, language model training and evaluation, responsible
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Workbench, and building an AI chat interface for SOZO users. This work intersects with the Nunez Lab's expertise in clinical NLP, generative AI, and retrieval-augmented generation applied to healthcare and