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Assistant Professor of Electrical and Computer Engineering - Medical Imaging (Tenure Track) University of Oklahoma Norman Campus: Gallogly College of Engineering: School of Electrical and Computer
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years of Radiology imaging experience, cross sectional imaging and/or computer assisted imaging preferred. Knowledge/Special Skills: For staff holding an ARRT license (not in MRI), Advanced MRI specific
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and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information to the physician for diagnostic and therapeutic interpretation, under
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and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information to the physician for diagnostic and therapeutic interpretation, under
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environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision, radiomics and deep learning approaches. The team has a double
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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Engineering, Applied Physics or related field. Preferred Qualifications Computer programming experience with MATLAB or IDL, C/C++, and Python. Experience with integrating components such motion control stages
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
Job Description POSITION ANNOUNCEMENT Instructor/Clinical – Imaging Sciences Master of Science (MS) in Imaging Sciences Program Department of Health Sciences POSITION: Faculty Imaging Sciences
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opportunities to implement innovative imaging methodologies and computational approaches to enhance trial outcomes. May submit research proposals as principal investigator for intramural/extramural funding. May
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8 Nov 2025 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Engineering Computer science