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and modalities based on diagnosis. • Knowledgeable in computer software for all imaging modalities. • Independently performs standardized imaging protocols based on diagnosis. • Competent in stereopsis
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demonstrated experience in computer vision or analysis of pathology images. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model
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Duties: The Radiologic Technologist for 3D Imaging position produces 3D images for medical interpretation. Qualifications: Minimum Qualifications: Bachelor's degree in Radiation Imaging Sciences, plus 3
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signal processing, synthetic aperture radar (SAR), and radio frequency (RF) sensing, while advancing technologies from concept through prototype demonstration. The successful candidate will serve as the
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Posting Details Position Details Title Nuclear Medicine Division Chief Specific Title Assistant, Associate, (Full) Professor of Radiology & Imaging Sciences Appointment Type Open Department IUSM
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15 Apr 2026 Job Information Organisation/Company Sorbonne University, IMPMC-UMR 7590 Research Field Computer science » Informatics Biological sciences » Biology Physics Researcher Profile Recognised
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University of California, Los Angeles | Santa Monica, California | United States | about 5 hours ago
JOB DUTIES Description With your passion for solving clinical mysteries and our comprehensive imaging capabilities and sophisticated technology, you can experience an exciting and rewarding imaging
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systems using computer vision, quantitative image analysis, deep learning methods for detection, diagnosis, and quantitative analysis of abnormalities with multimodal data, including clinical and
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protocols using aerial and ground-based platforms for agricultural safety monitoring. Apply advanced image analysis and computer vision techniques to identify and classify food safety risks in agricultural
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artificial intelligence and look forward to welcoming ambitious new members to our team. The research program of the group lies in the intersection of AI and medical ultrasound imaging. The paradigm shift