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• Night Shift POSITION HIGHLIGHTS The Radiology Technical Assistant provides general support to the Imaging Department. This includes preparing the patient for the procedure/ exam, transporting the patient
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of breast cancer patients (the largest of their kind; making extensive use of imaging mass cytometry and spatial transcriptomics) that span observational studies and clinical trials. We must precisely define
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 6 hours ago
campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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, pre-processing fMRI imaging, as well as providing oversight and assistance to other lab members' efforts. Experience with a Linux computer environment and Python scripting for analysis is critical
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. The project is an interdisciplinary collaboration between the MRI Physics Group and the X-ray Physics Group at the Department of Physics. In the MRI Physics Group, we aim to improve image quality in medical
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Job Description Harborview Medical Center – Radiology has an outstanding opportunity for a RADIOLOGY TECHNOLOGIST, CT. WORK SCHEDULE 90% FTE TBD DEPARTMENT DESCRIPTION Advanced diagnostic imaging
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with the Director of Imaging and additional Imaging Services and/or medical center leadership to develop and implement strategic plans and initiatives, process improvement initiatives, and patient care
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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Nurse Practitioner (ARNP) or Physician Assistant (PA-C) at the rank of Teaching Associate to join the growing Molecular Imaging and Nuclear Medicine service at the Fred Hutchinson Cancer Center with an
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intelligence, data science, medical physics, neuroimaging, bioengineering, or related disciplines, accompanied by accredited training in machine learning, deep learning, or medical image analysis. Experience: A