174 computer-science-image-processing-"U"-"Washington-University-in-St" positions at University of Michigan
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/assisting patients and families, providing check in services for Breast Imaging and X-ray patients, scheduling BI patients for appointments, answering telephone calls and processing orders as needed
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information into patient's charts. Assist and direct patients as needed for the following imaging modalities: General Imaging, Mammography, Computed Tomography (CT), and Ultrasound (US). Upload images from a CD
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of AI-based computer vision methods on optical and radiologic images. Our laboratory focuses on (1) intraoperative imaging with label-free optical microscopy and (2) neuro-imaging such as computed
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recorded. Directly assists radiologist with all radiographic, angio-CT hybrid and/or ultrasound procedures. Utilizes proper archiving protocols for processing and storing all acquired images related
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Desired Qualifications* PACS experience as well as proficient computer entry skills. Experience with digital imaging in an inpatient and trauma setting. Familiar with GE C-arms, Medtronic O-arm, Shimadzu
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and staff appointments, as well as transfers from other U-M campuses. Application Deadline Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as
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, communication, and customer service skills Ability to work in a fast-paced, multidisciplinary environment Proficient computer and keyboarding skills. Desired Qualifications* Previous experience in a ambulatory
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rooms capable of converting to intensive care; a state-of-the-art neurosciences center; and high-level, specialty care services for cardiovascular and thoracic patients, along with advanced imaging
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Ultrasound (UDUS) Research Group and the Michigan Institute for Imaging Technology and Translation (MIITT) at the University of Michigan. Our team is positioned at the interface of ultrasound (US) and magnetic
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streaming data from MRI scanners to remote or cloud computers for image reconstruction. Required Qualifications* Masters Degree in Computer Science or Biomedical Engineering. Proficiency in computer