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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 8 hours ago
, imaging, open surgery, and endovascular intervention. We place a strong emphasis on clinical quality outcomes, innovation, and exceptional patient experience. Practice Environment: Faculty members
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. Transfer imaging data from PACS system to devices like Stealth and Stryker navigation, assisting surgeons as needed. Collaborate with Neurology, General Surgery, and paraprofessionals to optimize surgical
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APPLICATIONS AND AREAS Department Overview The Department of Radiology is a 24-hour, seven day a week operation providing Imaging Services to adult and pediatric inpatient and outpatients. Position may rotate
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collaborative environment. Displays competent knowledge of ocular anatomy, function, and motility. Identifies imaging instruments and modalities based on diagnosis. Knowledgeable in computer software for all
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experience, and quality and safety processes over a designated inpatient imaging modality team or an ambulatory multimodality clinic. The Supervisor of Imaging Services typically oversees a total of up to 20
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This position’s primary focus is to complete a Nuclear Medicine procedure/therapy in a safe, efficient manner according to departmental, hospital, state, and federal guidelines. An experienced Nuclear
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must be goal oriented rather than process oriented and should be focused on adapting work procedures to achieve goals of quality patient care, personal growth, and increased productivity by any means
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the interview process. Job Summary The Radiology Technologist will provide diagnostic imaging for patients to assist the patient’s physician in expediting needed care. Job duties include performing or assisting
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processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with
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between complex instances such as point clouds, images or graphs. However, as the modern data are increasingly high-dimensional, OT is also now facing an old problem in optimization and statistical learning