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Field
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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of new physicians. Assists radiologists and PhD's in developing new protocols and imaging techniques that are unique to facility. Participates in research initiatives and development of research protocols
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | 2 days ago
required. A minimum of two years of medical imaging clinical experience. Current active membership in related professional associations required. Service as a faculty member for a JRCERT accredited imaging
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medical center, offering opportunities to support investigator-initiated projects, contribute to publications, and mentor trainees. Responsibilities Analyze gynecological and obstetric imaging datasets
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diagnostic imaging studies under the direction/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and Ultrasound
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/supervision of a radiologist. Assist with the education and training of new physicians. Assist radiologists and PhD's in developing new protocols and Ultrasound imaging techniques that are unique to facility
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clinicians’ administrative burden by developing intelligent natural language processing (NLP) systems that can autonomously complete medical forms. The research will design “agentic” NLP models capable
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of 3 years post-PhD experience (academic, core facility, or industry). Minimum of 3 years of experience working in the areas of image acquisition, image processing, and computer-assisted image analysis
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of new physicians. Assist radiologists and PhD's in developing new protocols and Nuclear Medicine imaging techniques that are unique to facility. Participate in research initiatives and development
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Rank: Senior - Principal) Position #00844858 – Requisition # 38881 Job Summary: The Quantitative Translational Imaging in Medicine Lab, located within the Division of Artificial Medical Intelligence