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. The Ellis Fischel Cancer Center, housed within MU Health Care, provides comprehensive breast care, including screening, diagnostic imaging, surgery, oncology, and survivorship services — offering an ideal
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
Imaging. The successful candidate will work with a team of technicians, chemists, scientists, and engineers in a fast-paces and dynamic work environment in the operation of our preclinical imaging
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
Laboratory Sciences, Emergency Heath Sciences, Medical Sciences and Respiratory Care and master’s degree programs in Imaging Sciences, Medical Laboratory Sciences, Physician Assistant Studies, Respiratory Care
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ceremony student check-in. In addition, the Academic Services Specialist will provide overall registrar customer service support to the campus by helping students with the enrollment process, troubleshooting
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image processing, classification, multi-temporal analysis, and data fusion, using advanced automatic analysis methods such as deep neural networks and artificial intelligence is essential. Specific
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. ACTIVITIES Medical image processing and 3D model reconstruction Computational model development using mechanical properties of biological tissues (from the laboratory’s work) Scientific result dissemination in
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems and novel microscopy and analysis methods. The research will provide
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related capabilities noted above). This leadership role offers opportunities to link to the broader imaging ecosystem at UQ, including HIRF (https://www.hirf.com.au/), and through external engagement
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order to detect microseismic events, characterise their sources, and image geophysical perturbations caused by industrial activities. The development of machine learning methods to efficiently process