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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
state-of-the-art imaging techniques with software-supported analysis of flow dynamics and mathematical modeling for the precise characterization of hemodynamic mechanisms in atherosclerosis. In research
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postdoctoral fellows to perform cutting-edge research in AI for radiation therapy. Research areas include developing and implementing AI techniques for image-guided radiation therapy, such as image
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). The position is embedded in a translational environment supporting integration of MEG with structural MRI, diffusion imaging (DTI), fMRI, PET, and complementary clinical/research measures, with access to high
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neutron scattering, diffraction, and imaging, in close collaboration with beamline teams at SLS and SINQ. The postdoctoral fellow will work closely with the Coherent X-ray Scattering Group (CXS
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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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approaches for eye disease and in particular for disorders affecting the retina, including inherited retinal degeneration (https://www.kcl.ac.uk/research/ocular-cell-and-gene-therapy-group). We are currently
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Description This Post-Doctoral Fellow position is part of our broader efforts to transform how cancers are classified, diagnosed, and treated through multiplexed tissue imaging, spatial multi-omics, and AI
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of tsunamis generated by granular flows and collapses in a channel. - Setting up experiments involving tsunamis generated by granular flow/collapse in a channel. - Analyzing images obtained with high-frequency
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ingenuity and initiative to obtain required images for diagnosis, research and therapeutic procedures. Will routinely perform all duties assigned consistent with Department?s commitment to providing quality
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cooperation partners in their research projects with state-of-the-art light and electron microscopes (https://www.leibniz-fmp.de/cellular-imaging ). We work with proteins, cell cultures, and model organisms