63 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Duke University
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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
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, United States of America [map ] Subject Areas: Environmental Economics Natural Sciences Forestry Appl Deadline: none (posted 2025/08/28) Position Description: Apply Position Description Dr. Jeffrey R. Vincent, the Clarence
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, United States of America [map ] Subject Areas: Computer Science Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Machine Learning Appl Deadline: none (posted 2025/08
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quantitative methods and excited about discovering physical principles of biological organization. Minimum Requirements: PhD in a scientific disciplines, ideally Biology, Bioengineering, Physics or Math
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKECHORYPOSTDOC1 [#30148] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map
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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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Postdoctoral Associate is the attainment of the PhD in biomedical engineering or related field. Essential Skills Essential skills include experience in experimental design and execution, recombinant DNA
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Health Program Program Type: Postdoctoral Location: Durham, North Carolina 27708, United States of America [map ] Subject Areas: Biology Mechanical Engineering Public Health Biomedical Engineering
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Duke University, Biomedical Engineering Position ID: Duke -BME -DUKENIKIFOROV1 [#30118] Position Title: Position Location: Durham, North Carolina 27708, United States of America [map ] Subject Area
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restoration of function. The successful applicant will combine computational modeling, engineering optimization, and in vivo experiments to advance understanding and application of electrical block of neural