44 electrical-and-computer-engineering-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Duke University
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awarded a NIH U01 grant to develop new vaccine strategies that can induce antibodies in early-life capable of preventingHIV-1infection in pediatric populations. This computational immunobiology postdoctoral
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the development of new imaging protocols. Minimum Requirements: Ph.D. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) in biomedical engineering, electrical or computer engineering, medical physics
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Date: Nov. 1, 2026 Application Review Begins: Immediately Location: Durham, North Carolina Work Arrangement: On-site Salary: $65,000 Research Program Description
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Partner with experts in child development, psychiatry, engineering, computer vision, and machine learning. Contribute to study design, scientific strategy, and interdisciplinary research planning. Work
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motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline. Required
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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objectives. Culture myoblast cells in both 2D and 3D systems, including development and maintenance of engineered myobundles. Evaluate muscle function through contractile force measurements following
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neurologists, neurosurgeons, sleep medicine specialists, engineers, and data scientists, you will have the opportunity to contribute to groundbreaking discoveries while expanding your scientific expertise in a
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independence in a highly collaborative environment that values mentorship, innovation, and professional growth. Be Bold. Join a research program focused on understanding how tumors evolve during and after
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. Analyze medical imaging datasets, including image segmentation and interpretation for research applications. Apply advanced computational techniques, including machine learning and deep learning