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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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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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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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BA/BS in Astrophysics, Physics, or Computer Science Preferred Qualifications Experience with Python, and hands-on work with telescopes About the Department School of Physics and Astronomy: https
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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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Procedural or surgical experience as a Physician Assistant Training in radiation safety and radiation biology Computer knowledge in MS Word, Excel, Access and other medical-based programs Familiarity with Epic
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proper data for billing (ICD codes/CPT). Effectively and efficiently utilize multiple pieces of equipment and computer programs. Complete preliminary reports. Participate in quality assessment (QA
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proper archiving protocols for processing and storing all acquired images related to procedures. Maintain patient confidentially and demonstrate exemplary customer service skills. Performs Quality Control
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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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proposal writing Ph.D. in Computer Science, Engineering, Biology, or a related field with a focus on machine learning or computer vision Minimum 5 years in multimodal image analysis OR deep learning