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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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, medical image reconstruction principles and experience with high-performance computer simulations in physics would be beneficial Experience in working with medical imaging data, especially with PET, and
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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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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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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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sophisticated radiation-detecting instrumentation (including SPECT and PET), accomplishes computer processing and image enhancement, and provides images, data analysis, and patient information to the physician