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-training, agentic systems, or large-scale data collection is helpful but not required. We welcome candidates whose background complements the group’s existing expertise and who are interested in shaping a
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and clinical decision support. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. PhD in one of these fields: Computer Science, Data Science
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development, validation, and implementation of artificial intelligence models using multimodal imaging and clinical datasets. What You'll Do: Data Acquisition & Management Organize, curate, and maintain large
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of density models that span the entire North Atlantic basin, addressing the problems of disparate survey data, geographically-differing species-habitat relationships, and large unsurveyed expanses that require
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, biostatistics, economics, data science, informatics, implementation science, public policy, or a related field Experience/Skills • Experience working with large administrative, clinical, or programmatic datasets
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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities research. Experience analyzing large secondary datasets, claims data, registry data, EHR data
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Qualifications:. PhD in one of these fields: Computer Science, Data Science, Biomedical Informatics, Computational Biology, Information Science or a related field. Experience in at least one of the following
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) Contact information for three references Choose Duke. Join our award-winning team as identified by Forbes magazine as America’s Best Large Employer 2024 and be part of an inclusive culture that values
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/time management skills, and interest in interdisciplinary collaboration. • Experience in the use of large language models for analyzing text and/or advanced skills involved in analyzing complex