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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
science of biomedical imaging. The Research Assistant supports research activities focused on synthesizing high resolution MRIs to improve autism diagnoses. This role contributes to data management, data
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diagnostic services in North Seattle • Radiology at UWMC-Northwest is equipped with the advanced diagnostic imaging technology available. Our board-certified radiologists have specialty training in cardiac
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/certification? Required Computer Applications: Microsoft Excel, Microsoft Word Required Other Computer Applications: Required Additional Knowledge, Skills and Abilities: Good written and verbal communication
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, starting IV's, and injecting contrast, if applicable. Assist radiologist with interventional CT procedures. Evaluate CT scans for technical quality, collate processed images in sequence of exposure and
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mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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, is required to promote knowledge transfer and infrastructure development. The position includes opportunities for career and skill development. The work will focus on image processing and visualization
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subject – Biomedical Sciences, Biomedical/Information Engineering, Computer Science, Analytical Bioscience, Physics or related disciplines. Prior experience with medical imaging, particularly MRI, medical
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Systems Department(S3D), in the School of Computer Science, Semantic Signals Lab is looking for a Post-Doctoral Researcher to join our team. Our lab builds mobile and wireless sensing systems that monitor
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advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection