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to join the Neuroradiology Division, a 26-member strong and growing team with subspecialty coverage in head and neck imaging and pediatric neuroradiology. This is an opportunity to practice at one
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
Description The Department of Radiology at the University of North Carolina at Chapel Hill is seeking a Cardiothoracic Radiologist to join the Cardiothoracic Imaging Division. This position supports
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Posting Details Position Details Title Assistant/Associate Professor of Clinical Radiology, Neuroradiology, REMOTE Specific Title Assistant/Associate Professor of Clinical Radiology & Imaging
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-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build trustworthy and robust AI models that address domain-specific challenges in
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: Cardiothoracic Imaging Radiologist with academic focus at UF Jacksonville Health System at the Assistant, Associate Professor/Full Professor level with 100% specialization. Full-time academic position with UF
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microtomography) and exploit image segmentation and analysis tools available within the team. - Perform mechanical characterizations at different scales and analyze deformation and failure mechanisms. - Develop and
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metadata, and clinical imaging workflows. Experience with image classification, segmentation, temporal modeling, representation learning, multimodal learning, or clinical prediction modeling. Familiarity
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Position Details Posting Summary Position Title Teaching or Tenure Track Faculty Position - Doctor of Physical Therapy Program - Erie, PA Posting Number F234P Division School of Health Professions
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on biomedical image computing. Our work involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build trustworthy and
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Critical position. In the event of an emergency on campus, an employee designated as organizational critical is expected to report to Campus as soon as possible to assist in division/department response and