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trustworthy AI architectures in domains such as generative AI, large language models, neural networks, and imaging as well as to integrate various types of data to advance research and improve clinical decision
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 3 hours ago
, School of Public Health, and Graduate School of Biomedical Sciences. For more information on UT Health San Antonio visit our website at https://uthscsa.edu/health-professions/ The School of Health
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proficiency. Prior experience is desirable but not required for molecular laboratory work or imaging systems, as essential training on either can be provided. CFOS is one of the most geographically diverse
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 27-Jan-26 Location: Los Angeles, California Categories: Academic/Faculty Internal Number: 6880 Job Description Join
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letter and resume or CV. This position will remain open until filled. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity
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Posting Details Posting Details Job Title Radiology CT Tech/UKHC Requisition Number RE52770 Working Title Department Name H6250:Imaging Services Work Location Lexington, KY Grade Level 10 Salary
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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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during related procedures. Selects and adjusts equipment and transducers to appropriate settings to obtain, record, store, transmit and print optimal images. Confers with physician to determine if
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Apply now to Assistant/Associate/Full Professor – Laryngologist Surgeon Position Job #JPF05662 Otolaryngology - Head and Neck Surgery / SCHOOL OF MEDICINE / UC San Francisco Application Window Open date
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computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and