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Field
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AI technologies. We develop innovative approaches that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and
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that combine deep learning, computer vision, and bioinformatics to extract actionable insights from complex, multi-modal data, including medical imaging, genomics, and clinical records. A central theme of our
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
: 264462 Employment Type: Permanent Faculty Vacancy ID: FAC0004664 Position Summary/Description: The Department of Radiology and the Biomedical Research Imaging Center (BRIC) at the University of North
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Engineering, Signal Processing, Precision Instrument, Information Technology, or other related majors. Demonstrated excellence in any form of optical imaging techniques is required Experience in cell or animal
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University. The ideal candidate will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses
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report research as a member of a research group in the field of of medical data archiving methods and medical imaging methods and to conduct lectures and laboratory exercises for students of biomedical
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Instituto de Investigación Sanitaria Puerta de Hierro – Segovia de Arana (IDIPHISA) | Spain | 1 day ago
the research project, with subsequent processing and analysis of the images. • Management of the aforementioned project and performance of the tasks necessary for its development, including regulatory and
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candidate will have a strong background in biomedical imaging and/or neuroimaging, including domains of physiological/metabolic/molecular imaging, computational image processing, or imaging hardware and