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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 7 hours ago
the group of Dr. Eric Muir at the University of North Carolina at Chapel Hill in the Department of Radiology and the Biomedical Research Imaging Center. The successful candidate will develop and optimize
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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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an approach based on 3D imaging and numerical simulation. The objective is to support the development of the most "infiltrable" ex-PIP matrices by characterizing the spatial organization of these porous media
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has been produced, the postdoctoral researcher (M/F) may be involved in targeted field surveys to analyze and understand the role played by images in mobilization and by the actors who produce and
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the Quantitative Imaging Platform of Villefranche (PIQv; https://sites.google.com/view/piqv ), which oversees the operation of the tools that the team develops. Those tools include imaging sensors, such as the
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on understanding the heterogeneity and complexity of aging and cognitive diseases such as Alzheimer's disease. Our research has a strong focus on advanced imaging techniques in combination with
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microscope that allows one to perform single-atom and single-site resolved fluorescence images of strontium Hubbard systems for the first time. Furthermore, we have very recently been able to push our setup
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More Jobs from This Employer https://main.hercjobs.org/jobs/21817089/postdoctoral-in-biomedical-imaging-imaging-instrumentation-2025-2026 Return to Search Results
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available1Company/InstituteGroupe de recherche en Informatique, Image, Automatique et Instrumentation de CaenCountryFranceCityCAENGeofield Contact City CAEN Website http://www.greyc.fr STATUS: EXPIRED X (formerly
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 16 hours ago
planetary image datasets. The science targets selected for discovery should be motivated by current, relevant questions that advance our understanding of planet surface dynamics and evolution. Candidates