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contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing. Salary Range: $47,000 - $70,500
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Radiology - MRI Full Time 87159BR Job Summary The Department of Radiology is a 24-hour, seven day a week operation providing imaging services for adult and pediatric inpatients and outpatients
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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About Us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas’ Hospital. The School
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the department Job Responsibilities Ensures all patient data such as imaging reports, immunization reports, or lab results are sent promptly to referring or specialist physicians and offices to support continuity
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including Diffusion MRI (DTI), high-resolution structural images, resting BOLD fMRI, FLAIR, and tau and amyloid PET. The position will also involve processing of non-imaging data such as behavioral task data
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our fellows become proficient in multiple facets of musculoskeletal imaging and procedures. All imaging modalities are utilized to diagnose and treat injuries and diseases including CT, MRI, ultrasound
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University of California, San Francisco | San Francisco, California | United States | about 10 hours ago
radiographic exams and processes images on various archival systems. Professionally accountable for submitting high-quality images to PACS. Participates in performance improvement activities in the department
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imaging, in vivo electrophysiology, animal behavior experiments, animal surgery, computational modeling of animal behaviors, or computational modeling of neural dynamics. Some programming skills for data
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize