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The University of Chicago Academic Jobs #RAD092 Chest Imaging Radiologists Department of Radiology, Biological Sciences Division Position Type: Faculty Salary Range: Salary Range: Assistant
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: The Computed Tomography division encompasses stationary CT equipment located in University Hospital, East Hospital, James Cancer Hospital and OSUWMC Ambulatory Imaging locations. Position Summary The CT
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& Responsibilities: Develop advanced deep learning methods for radiology or pathology medical imaging Integrate imaging data with EHR, clinical notes, or genomic data Conduct research on segmentation, classification
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Practice, Associate Professor of Clinical Practice, or full Professor of Clinical Practice to join the Division of Cardiology as a member of the Non-Invasive Imaging Team. General expectations: Perform
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detailed tasks accurately and with quality. The position will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in
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-learning–based segmentation, species classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and
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, MATLAB, and R, combined with experience in signal and image analysis, as well as familiarity with electronic health data, will be distinct advantages. https://www.bcm.edu/departments/surgery/research/atlas
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variational autoencoders (VQ-VAE) or similar models Knowledge of MRI physics and Bloch equation simulations Experience with medical image segmentation or classification tasks Publications in machine learning
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, this segmentation may rely on artificial intelligence (AI) tools trained to automatically identify and delineate the main organs from MR images. This step will make the generation of attenuation maps faster, more
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for the division, under the direction of the Imaging Manager. Minimum Qualifications 2-Year College Degree. A.R.R.T. Radiography registered with current ODH licensure. Previous interventional radiology experience is