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Skip to Main Content Toggle navigation Home Search Jobs Job Alerts Log In /Create Account Help Assistant/Associate/Professor in AI for Image Analysis and Computer Vision Bookmark this Posting Print
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improve the clinical outcome and help prognose inflammatory bowel disease stages for patient risk stratification. The selected candidate will work with endoscopic and whole-slide imaging (WSI) data
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research and methodological development to design and implement novel computational models and solutions. A solid theoretical background and hands-on experience in digital image processing and deep learning
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of image analysis and machine learning with a minimum of 90 higher education credits. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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Job title: Assistant Professor in Signal and Image Processing or Robotics School: School of Engineering & Physical Sciences Institute: Institute of Sensors, Signal and Systems Grade and Salary
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Assistant Professor of Electrical and Computer Engineering - Medical Imaging (Tenure Track) University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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Post-Doctoral Position - Medical Image Processing - (240000Y9) Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in
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in image processing, quantitative analysis, and biological interpretation Proficiency in AI/machine learning tools for image segmentation, transformation, registration, or tracking Solid mathematical