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of myocardial fibrosis using 68Ga-FAPI-04 PET/CT (Protein Positron Emission Tomography associated with Computed Tomography using Gallium-68-labeled Fibroblast Activation Inhibitor), integrating multimodal imaging
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 25 minutes 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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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 days ago
needs. IBMI scientists develop next-generation imaging and sensing methods to measure previously inaccessible properties of living systems, hence, catalyzing breakthroughs in biology, medicine, and the
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Computer Applications: Microsoft Office Required Additional Knowledge, Skills and Abilities: Highly proficient in medical imaging toolboxes/software including FreeSurfer, FSL, AFNI, SPM, ANTs, ITK, c3d
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investigator, the Short-Term Casual will help the lab?s image processing and analysis to ensure that ongoing projects in the lab run smoothly and meet targets. Responsibilities Coordinating with PI and clinical
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collection, data analysis and drafting manuscript. The appointee is expected to work with researchers at Life Science Imaging Center (LSIC). LSIC is a central research facility (https://lsic.hkbu.edu.hk
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duties: Candidate must enrol to a PhD Programme in Medicine at the Universitat Autònoma de Barcelona. Research in cardiovascular imaging, with a specific focus on computed tomography and aortic diseases
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computer-based image and data processing. • Optimizes imaging techniques and uses appropriate judgment to maximize image quality. Patient Care & Communication • Explains imaging procedures to patients
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. In particular, he/she will be expected to :• Select and evaluate the most suitable approaches from the wide range of machine learning and computer vision methods available in the literature, with
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The Department of Electrical and Computer Engineering at the University of Virginia is accepting applications for research scientist position for machine learning methods for magnetic resonance