28 data-"https:"-"https:"-"https:"-"https:"-"Dr" Postdoctoral positions at Duke University
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addition to pursuing their own research agenda, we seek applicants with experience in survey design and computational methods, and working with complex large-scale data. Successful candidates will have completed a Ph.D
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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Health Sciences. The position will be focused primarily on analyzing data from projects related to emergency medical services, focused on stroke care, and climate change implementation science. This role
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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-reviewed publications and develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs
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Duke University Department of Obstetrics and Gynecology has an immediate opening for a Postdoctoral Associate in the Division of Reproductive Sciences. More information about this division is located
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information, national origin, race, religion, sex, sexual orientation, or veteran status. Applications will be received through Academic Jobs Online. Required Application Materials: • Cover Letter • Curriculum
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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record of publications in peer-reviewed journals are required. Experience and expertise in analyzing single-cell sequencing data are preferred. This candidate must be detail-oriented and well-organized
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committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex