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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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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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coordinator for the Medical Imaging and Radiologic Sciences Sonography Program include working in partnership with the Radiologic Technology clinical coordinator(s) in the management and oversight of clinical
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Science or related field of study. Minimum 5 years’ experience as an Imaging Technologist. Preferred experience with EMR, timekeeping systems, and imaging informatics systems. Preferred working knowledge
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Our application process is not yet fully accessible. If you need assistance, please contact us – we'll be happy to help. If you have any questions please contact: Dr.-Ing. Dennis Kundrat
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technologist to join our PET imaging team at King’s College London (KCL) & Guy’s and St Thomas’ (GSTT) PET Centre. The Centre is part of both King's College London's School of Biomedical Engineering & Imaging
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in MR imaging sciences and at least 4 years of post-PhD experiance. Development experience in both MR imaging and MR spectroscopy is highly desirable. MRI research experience in an academic setting
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push the boundaries of neural scene representations in a medical imaging context. The successful candidate will work alongside a multidisciplinary team of deep learning researchers, computer vision
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records, site logs, image receipt reports, and quality assessments. · Track and report on protocol progress, image processing timelines, and delivery milestones using internal tracking systems and sponsor
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for further development. Mentor students Job Requirements: Master’s degree in civil engineering or related field At least 1 year of relevant experience in signal processing and machine learning. Good written