64 assistant-professor-and-human-computer-interaction Postdoctoral positions at Duke University
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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] Subject Area: Management and Organizations Appl Deadline: 2025/05/12 11:59PM (posted 2025/05/02) Position Description: Apply Position Description Professor Aaron Kay’s research group in the Fuqua School
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. The Postdoctoral Associate will be based in Duke’s Department of Civil and Environmental Engineering and the research team led by Professor Heileen Hsu-Kim. The Postdoctoral Associate will perform experiments
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, Duke University Biology Department to study how archaeal microbial communities respond to stress in hypersaline environments. A PhD in computational and/or experimental biology is required in fields
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scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke
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associate will be based in the Department of Civil and Environmental Engineering led by Professor Mark Wiesner.The postdoctoral associate should be able to work effectively with collaborators from diverse
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University upon termination. • Adherence to University standards regarding use of isotopes, chemicals, infectious agents, animals, human subjects, and the like Open and timely discussion with the mentor
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with C. elegans is necessary. Skills related to genetic analysis, molecular biology, imaging, and computational analysis are also essential. This position is part of a research team, and there
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative experiments to understand and control