90 associate-professor-computer-"https:"-"https:"-"https:"-"NOVA.id" Postdoctoral positions at Duke University
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Associate Be You. The Center for Policy Impact in Global Health (CPIGH) within the Duke Global Health Institute and the Duke-Margolis Institute for Health Policy (“Margolis Institute”)—both in the Duke School
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Postdoctoral Associate Early Childhood Cognition Lab at Duke / Dr. Tamar Kushnir Department of Psychology and Neuroscience Overview The Early Childhood Cognition Lab at Duke’s (http://www.ecclabduke.com
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to eligible team members. Learn more at https://hr.duke.edu/benefits/ Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability
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Year, 100% Grant Funded, Postdoctoral Associate Position Available. Extensions will be contingent on continued funding, performance, and needs of the lab. Screening of applications continues until
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oral history work, with regard to Beyond the Veil and the SNCC Legacy Project, the multifaceted history of Duke, and a range of other initiatives. The History Department has a vibrant Ph.D. program, and
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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multiple affiliations. Postdoctoral FellowPosition Computational approaches to malaria parasite antigen diversity Duke Global Health Institute Be You. The Malaria Collaboratory is recruiting an exceptional
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Department of Cell Biology is seeking a Postdoctoral Associate position to join a project in the lab of Debby Silver. The Silver lab at Duke University School of Medicine seeks a highly motivated fully funded
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Description A Call for Postdoctoral Position in Behavioral Economics and Applied Behavioral Science at Duke Host: Professor Dan Ariely, Duke University (Center for Advanced Hindsight) Description: We invite
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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning