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records, site logs, image receipt reports, and quality assessments. · Track and report on protocol progress, image processing timelines, and delivery milestones using internal tracking systems and sponsor
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Physical Requirements Sitting at a computer for long periods of time. Shift Hours assigned between 8:00am and 5:00pm Monday to Friday. Work will be remote. Job Summary The Dosimetrist Clinical/On-Call
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preferred. Experience utilizing computer vision algorithms and frameworks, including medical image classification, feature matching, edge detection, image segmentation, and deep learning models like
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workstation for extended periods of time and performing tasks with repetitive motions (such as typing). Also involves some risk of injury from moving, lifting or positioning patients, equipment, or materials
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of individuals' prior learning and education, as in the use of military guides, foreign texts, and ACE publications. Understand and operate varied University computer equipment and software after a brief
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settings Computing experience including manipulation and transfer of large datasets Clear spoken and written communication skills, with proficient computer use and strong interpersonal and influencing
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performance. Assist radiologist with procedure protocoling and performance. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images
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review related to histopathology image analysis and the application of machine learning in this field, creates reports based on the review, and present them to senior staff. Contributing to prototyping and
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to support the research for the project titled: Automated IC Recognition and Verification from PCB Images. The objective is to design and develop computer vision techniques to analyse multi-modal PCB
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and society. Our Center for Vision, Automation & Control (VAC) is a team of approximately 140 experts carrying out applied research in image processing, sensor-data fusion, machine learning, data