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that enhances the positive self-image of individuals served and their families and preserves their human dignity, right to fair and equitable treatment, self-determination, individuality, privacy and civil rights
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Effective cancer management requires precise imaging, but current
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the department Job Responsibilities Ensures all patient data such as imaging reports, immunization reports, or lab results are sent promptly to referring or specialist physicians and offices to support continuity
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, siRNA technology, qPCR, FACS analysis, confocal imaging, histology, immunohistochemistry, immunofluorescence, ELISA, Western blots, and other protein chemistry techniques. The ideal candidate will be
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contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods in medical imaging processing. Salary Range: $47,000 - $70,500
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 1 hour ago
activities as well as low-cost-of-living. Further information on the University and local area can be found at http://www.uthscsa.edu and http://www.visitsanantonio.com . Application Process: Interested
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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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University of California San Francisco | San Francisco, California | United States | about 1 month ago
: 87186BR The Nursing Imaging Director provides strategic, operational, and clinical leadership for all nursing functions across Diagnostic Imaging, Interventional Radiology, and associated ambulatory and
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: 87278BR The Staff Research Associate I/2 will support research in the Dunn Lab focused on understanding how visual information is processed in the retina and how these processes are disrupted in disease
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and molecular genetics as well as hands-on experience with cloning, live-cell fluorescence microscopy, image analysis, and sample preparation for sequencing and multi-omics analyses. The main model