2,396 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Duke University
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. The Yang Lab at Duke University is seeking a motivated postdoctoral fellow to carry on exciting projects focusing on membrane transport biology. The postdoc will work in a dynamic, interdisciplinary
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complex tasks associated with the operation of sonography equipment and related equipment to produce specialized images of specific body regions. Demonstrate proficiency in performing sonogram imaging
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School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff...
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. Become a part of a team that values and invests in you. Duke Advanced Practice Highlights: The nation’s first Physician Assistant Program was created at Duke in 1965 and is consistently ranked No. 1 in
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Description of the Job Class A Central Sterile Processing Technician, Certified is responsible for cleaning, decontami nation, assembly, and high-level disinfection of all reusable medical in strumentation
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other specialized life support requirements designated by work area record activities, document assessments, plan of care interventions, evaluation and re-evaluation of patient status. Use computer and
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available to conduct research on chronic pain. Using animal pain models, behavioral tests, calcium imaging, patch-clamp, optogenetics, neuroanatomy, molecular biology, the successful candidate is expected
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records, site logs, image receipt reports, and quality assessments. · Track and report on protocol progress, image processing timelines, and delivery milestones using internal tracking systems and sponsor
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. The Ur-BIOME Research Program at Duke University, led by Dr. Nazema Siddiqui in the Department of Obstetrics and Gynecology’s Division of Urogynecology, is seeking a highly motivated Postdoctoral Fellow
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as