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within its Imaging Section. The incoming physician will work closely with Cardiovascular Division leadership and the service line to support and expand the University’s clinical and academic missions
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, image reconstruction, and data-driven modeling of biological systems. The Division carries out research and postgraduate education within computational imaging, applied mathematics, and structural biology
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 2 days ago
The Department of Radiology Division of Pediatric Radiology The Department of Radiology in the Joe R. and Teresa Lozano Long School of Medicine at UT Health San Antonio is seeking a board certified
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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow in Machine Learning for Computational Pathology, Medical Imaging, and Clinical Text Analysis Department Bashashati
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Computational Physics and Biological Imaging comprises research in computational methods for structural biology, image reconstruction, and data-driven modeling of biological systems. The Division carries out
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such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving
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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 radiographer experience is preferred
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Jobs from This Employer https://main.hercjobs.org/jobs/22085101/postdoctoral-scientist-innovation-in-imaging-department-of-medicine-division-of-aim-slomka-lab Return to Search Results
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Jobs from This Employer https://main.hercjobs.org/jobs/22085105/postdoctoral-scientist-slomka-lab-innovation-in-imaging-department-of-medicine-division-of-aim Return to Search Results
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Internal Number: A-183314-3 General Description Salary: $70,000 - $80,000 per year General summary/purpose: The Assistant Research Engineer will oversee the organization, curation, and management of imaging