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of new physicians. Assists radiologists and PhD's in developing new protocols and imaging techniques that are unique to facility. Participates in research initiatives and development of research protocols
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities
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Description of the workplace Diagnostic Radiology, ITM, Lund University conducts research related to medical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is a cross-disciplinary
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
required. A minimum of two years of medical imaging clinical experience. Current active membership in related professional associations required. Service as a faculty member for a JRCERT accredited imaging
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grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing
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grant proposals/studies as needed. Qualifications Education Requirements: PhD degree in Computer Science, MD degree, or related field. Experience and Skills: Experience in image or signal processing
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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memories and how these processes are influenced by addictive substances. You will use state-of-the-art in vivo two-photon imaging and electrophysiology to record neuronal activity in rodents performing
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opportunities across UNMC. Required Qualifications • PhD in Neuroscience, Biology, Physiology, Pharmacology, or related discipline • Demonstrated experience with rodent stereotaxic surgery (must) • Strong
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(but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. Experience in deep learning, machine learning and medical imaging processing Programming