55 computer-engineer-"https:" "https:" "https:" "https:" "UCL" Postdoctoral positions at Duke University
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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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work at the intersection of systems neuroscience, neurophysiology, imaging, and computational analysis to uncover how motor cortical circuits support learning and memory. Be You. You will contribute
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contributions to biomedical science. Be Bold. Join a research program focused on uncovering the cellular, molecular, and neural mechanisms underlying migraine and chronic pain. You'll leverage cutting-edge
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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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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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, Statistics, Biostatistics, Computer Science, Computational Biology, Systems Science, Engineering, Physics, Epidemiology, Network Science, or a related quantitative field Demonstrate strong computational and
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-throughput genomic screening approaches, primary cell culture systems, and animal models of influenza disease. For more information visit https://mgm.duke.edu/faculty-and-research/primary-faculty/nicholas
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collaboration within a vibrant multidisciplinary team of mechanical and biomedical engineers, material scientists, computational modeling experts, and clinicians. Excellent communication and interpersonal skills
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for postdoctoral fellows. We are seeking highly motivated candidates to join our research program in regeneration genomics. Our laboratory develops and applies cutting-edge genomics and proteomics technologies