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Assistant/Associate/Professor Breast Radiologist Med-Radiology - Pennsylvania-Pittsburgh - (24002364) UPMC/University of Pittsburgh Breast Imaging Assistant/Associate/Professor, Non-Tenure (Part
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NIST only participates in the February and August reviews. Project Description:NIST is developing a novel neutron interferometric phase imaging method using a grating-based, far-field interferometer
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
to geysers on Triton. These images have been used countless times over the past three decades to conduct scientific analyses in planetary geology and atmospheric science, to inspire new generations
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Photoacoustic Imaging Lab Welcome to Photoacoustic Imaging Lab (PI-Lab) at Biomedical Engineering Department of Duke University. Our mission at PI-Lab is to develop state-of-the-art photoacoustic tomography (PAT
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Posting Details Position Details Title Assistant/Associate Professor of Radiology, Breast Imaging, Indianapolis Specific Title Assistant/Associate Professor of Radiology & Imaging Sciences, Breast
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A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
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. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/ . The mission of CIRC is to provide a shared state-of-the-art national resource for translational molecular imaging research
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, IMARIS, Zeiss Imaging Platform, Olympus Imaging Platform Preferred Additional Knowledge, Skills and Abilities: Image analysis, statistical analysis, scientific writing Email to a Friend https
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Primary Purpose: To provide technical leadership and expertise in the operation and maintenance of the WCVM Imaging Centre’s Transmission Electron Microscope (TEM) and Scanning Electron Microscope
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multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities