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Field
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COMPENSATION The hiring range for this position is expected to be: $78,000-$83,000 BENEFITS AND PERKS A variety of health insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 401(a) and 403(b
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evaluation of machine learning, computer vision, and other algorithms, primarily in the context of health. They will be part of the thriving research community of Duke Spark (spark.duke.edu) where AI
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. About you a Doctorate or PhD in a relevant field and demonstrated experience in vision science research demonstrated understanding of the subject matter within the relevant discipline experience
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 18 hours ago
, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country. UNC-Chapel Hill offers postdocs comprehensive medical and vision
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assessment). You should hold a relevant PhD/DPhil (or near completion) and have publications in medical image analysis or computer vision video analysis. Knowledge of ultrasound imaging is not a requirement
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Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking and hearing. No special vision requirements. Must be able to lift or exert forced up to ten (10) pounds. WORK ENVIRONMENT; Work is
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research and implementation. You will also develop novel algorithms using state-of-the-art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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career aspirations. Contact information for three references. Comprehensive Benefits Package: Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic