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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 21 days ago
with people with a history of substance use disorder or adversity, and working with compassion and trauma-informed care Ability to work in the Magnetic Resonance Imaging (MRI) and Positron Emission
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, delivering evidence based diagnostic imaging services across a broad range of neurologic conditions. Interpret neuroradiology studies including MRI, CT, and advanced imaging modalities to support accurate
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-based diagnostic imaging services for acute and inpatient conditions. Interpret imaging studies including CT, MRI, ultrasound, and plain radiography for emergency and inpatient patients. Cover complex
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
neuroradiology CAQ certified (or eligible) neuroradiologist. The ideal candidate will be proficient in interpreting complex diagnostic neuroradiology studies, including advanced MRI and CT of the brain, head, neck
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operating room suites, with dedicated neurosurgical space. Specific imaging modalities relevant to the Small Animal Neurology service include a Siemens 3T Skyra magnetic resonance imaging (MRI) and Siemens
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Every 6 weeks Equipment is state-of-the-art and includes 2- 3T Siemens MRI scanners and 3 - 1.5T Siemens MRI scanners. 1.5 and 3T GE MRI Scanners. Additional 3T and 7T Siemens MRI scanners are at our new
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Southern Illinois University - School of Medicine | Springfield, Illinois | United States | about 2 months ago
(eg, lab, radiology, CT, MRI, major procedures) by coordinating the care patients receive among the different providers. In addition, this position serves as the primary contact for managed care and
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observations with neuroimaging methods—including functional near-infrared spectroscopy (fNIRS; including hyperscanning) and functional magnetic resonance imaging (MRI)—to investigate the mechanisms linking
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learning to reconstruct perceived information from functional MRI in real time. For more information on Professor Norman’s lab, see https://compmem.princeton.edu. Questions should be directed to Professor
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(TRANSFORM – CMT). The Reilly research group has developed a quantitative calf muscle Fat Fraction MRI protocol, the most responsive outcome measure (OM) in multiple forms of CMT. Technology advances using