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Field
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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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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 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
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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
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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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.Performs Diagnostic Images a. Corroborates the patient's clinical history with procedure, assuring information is documented and the exam ordered following patient identification guidelines. b. Utilizes
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Physician Assistant Training in radiation safety and radiation biology Computer knowledge in MS Word, Excel, Access and other medical-based programs Familiarity with Epic based EMR Radiology experience