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, CT, CI, VI. Technologists will be required to provide patient education and quality assessment activities for the Imaging Division, under the direction of the Imaging Manager and/or Associate Director
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Department: East | Outpatient Care East Imaging Scope of Position The MR Division encompasses MR equipment located in University Hospital, East Hospital, James Cancer Hospital, and OSUWMC Ambulatory Imaging
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
to clinical applications. ➢ A good knowledge of Python, TensorFlow, PyTorch environments, and segmentation software such as 3D Slicer is expected. ➢ Skills in knee anatomy, CT imaging, as well as an interest in
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Institutional Review Board (IRB) submissions. Extracting retrospective data from EPIC. Manually segmenting OCT images to support AI research. The role requires frequent interaction with patients, research staff
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students and scholars. The Division coordinates with other units in the Libraries to ensure preservation of all Libraries? content. Reporting to the Manager, Digital Imaging Lab, the Technical Assistant VI
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channels. In addition, your responsibilities may include data handling of these datasets — from image stitching to registration and morphological neuron segmentation. You will work closely with experimental
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Diagnostic Radiology. Fellowship training in Cardiovascular and/or Thoracic Imaging (or equivalent subspecialty training). Required License/Registration/Certification Eligibility for or current certification
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of Medicine’s Division of Cardiology is seeking a part-time, hourly ABIM board-eligible/board-certified General Cardiologist with additional training in Echocardiography, Nuclear Imaging, Cardiac Computed
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Assistant/Associate/Professor Breast Radiologist Med-Radiology - Pennsylvania-Pittsburgh - (25002992) UPMC/University of Pittsburgh Breast Imaging Assistant/Associate/Professor, Non-Tenure (Full
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: Docker, MLflow ○ Expertise in 2D/3D image segmentation, detection, and Stable Diffusion techniques (U-Net, V-Net, DeepLab) ○ Strong experience with Generative AI models (GANs, VAEs