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analysis of biological tissues and biomaterials using micro/nanoCT, confocal microscopy and SEM Characterize fibrous scaffold architecture, porosity and structural stability Develop computer vision and
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University of Würzburg - Rudolf Virchow Center for Integrative and Translational Bioimaging | Oettingen in Bayern, Bayern | Germany | 3 months ago
concepts of fluorescence microscopy to analyze heart-specific antibodies as modulators of myocardial infarction. The project largely involves the development of sample preparation workflows, light-sheet
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techniques including optical and electron microscopy, IR and Raman spectroscopy, MRI, and X-ray microtomography to track polycondensation in real time. Publishing your findings in peer-reviewed international
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computer vision, deep learning, and logical reconstruction techniques. The research investigates how multimodal imaging modalities - including scanning electron microscopy (SEM), photon emission microscopy
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electron microscopy (cryo-EM), light microscopy, sequencing, and proteomics. For more information, please visit https://www.helsinki.fi/hilife/bi Additional information For further inquiries regarding
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-of-the-art analytical and molecular technologies including Pyrolysis-GC/MS, Raman spectroscopy, confocal microscopy, electron microscopy, transcriptomics, proteomics and ICP-MS. This is an opportunity to join
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microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties
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electron microscopy. PhD candidate 2 will use this fundamental understanding to extrapolate towards more complex textures, including entire lattices and guided by state-of-the-art nano-lithographies, in
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expertise in hydrogen embrittlement, fracture mechanics and advanced characterization of metallic materials. By combining state-of-the-art microscopy, hydrogen testing and fracture mechanics, the group
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for biomedical research Electronic Health Record (EHR) analytics and clinical data integration Biomedical image analysis and quantitative microscopy High-performance computing (HPC) and scalable AI pipelines