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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
achieve a better accuracy. Our future work aims at generating automatic 3D pose, shape and texture of animals from images acquired in-the-wild. The project This project is aimed at bridging the gap between
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and tumor tissue) to determine their immune cell infiltration profiles 3D imaging analyses using fluorescence microscopy techniques (e.g., confocal laser scanning microscopy, light-sheet fluorescence
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Design and Implementation of a Thermal Imaging Camera Model
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for cryo-electron microscopy (cryo-EM) data analysis, modeling conformational heterogeneity, and identifying optimal binding candidates, by integrating image analysis and docking across multiple structural
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at a time. Understanding how multiple exposures interact, and how they affect different parts of the respiratory system, is therefore critical for building a more accurate picture of their impact on
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scientific laboratories dedicated to photographic and 3D documentation, multiband imaging, scientific analysis, and environmental monitoring for cultural heritage. These facilities support both the study of
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promising imaging technology is proton-acoustics, relying on detecting acoustic waves generated by proton-tissue interaction for real-time in-vivo 3D proton beam imaging and dosimetry. However, proton
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-ray imaging platform that intelligently hunts for these hidden failure points in real-time. As the first PhD student and a founding member of the new BASE (Beamlines for Autonomous Science and
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to use cutting-edge tools such as single cell genomics, epigenomics, high-resolution microscopy, novel transgenic mouse models, 3D organoid in vitro models, and customized bioinformatics pipelines
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of multi-layered and 3D artworks using techniques such as terahertz imaging, thermography and ultrasonics; and (ii) integrate and visualise multimodal NDE data using data fusion, digital twins and augmented