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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 4 hours ago
to misapprehensions about the outer planets and moons. In addition, many images were never processed in to full color and remain monochromatic. Digital image processing has now advanced significantly, permitting new
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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
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culture. Key Responsibilities: Design and implement optical interferometric imaging approach for functional neuroimaging Conduct experiments on cells and/or animals Analyze and summarize the experimental
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Molecular Imaging and Theranostic
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, machine learning, multiscale and multiphysics simulation, computational anatomy, medical image analysis, and integration of wearables and biosignal processing, applied to conditions ranging from cardiac
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) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from global Earth discovery, to natural
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This full-time research assistant will run behavioral and brain imaging data collection supporting Dr. Anne Berry's R01 project "Upregulated norepinephrine synthesis capacity in aging
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detection and image-guided surgery for pancreatic ductal adenocarcinoma (PDAC). Our laboratory develops biocompatible, near-infrared (NIR) chemiluminescent chitosan-based nanoparticles (CNPs). By combining
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lung health, across a range of laboratory and imaging programs. Role Summary This role will help to develop lung function-based respiratory biomarkers through AI, machine learning and image processing
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia