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one or more of the following areas: machine learning, computer vision, medical image analysis, or biomedical imaging informatics. A record of scholarly productivity appropriate for appointment at the
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development of novel volumetric representations and computational imaging methods for paired visible-light and X-ray images, as well as extending computer vision techniques from the visible-light RGB
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Imaging Library and qim3D packages. Publish scientific articles within computer vision, data, and applications in collaboration with colleagues in physics and natural history. This role is part of
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, high-quality aortic research database (imaging repository, clinical registry, biobank integration) Implement machine learning, deep learning, and computer vision models for: Aortic disease detection
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. Publish research results in leading journals and conferences in machine learning, computer vision, and computational imaging. Contribute to research-based teaching and supervision of MSc and BSc student
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, smart multi-camera networks, computer vision, sensor fusion, and (medical) imaging. This project is in close collaboration with the Radiation Physics research group at the Center for X-ray Tomography
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Imaging Library and qim3D packages. Publish scientific articles within computer vision, data, and applications in collaboration with colleagues in physics and natural history. Application procedure
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significant and creative contributions in the area of machine learning & data analytics. The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that
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Scholar with strong expertise in computer vision, multimodal AI, machine learning, and/or agentic AI to help build the next generation of intelligent digital health solutions. You will work side by side
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intersection of artificial intelligence, computational biology, and computer vision. It is designed for candidates excited about applying advanced AI methods to frontier problems in biology. We are seeking