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Eligibility criteria Instrumental optics and imaging (microscopy, camera detection) for biology. Skills in coding and experiment control. Basics of machine learning and/or signal processing. Teamwork
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characterization of C and SiC fibers - Training on bench use (in particular heating techniques by Joule effect, laser diffraction, infrared imaging, pyrometry, preparation of micrometric samples, ...) - Technical
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conduct in vivo experiments to investigate retinal neurovascular dynamics using the AO-RSO system; Develop or adapt high-speed image acquisition and processing methods for simultaneous measurement
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for the direct spatio-temporal measurement of the turbulent dissipation rate at a solid wall. New post-processing algorithms are also developed for Particle Image Velocimetry to measure extremely dense 3D time
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, cell biology experiments, biochemistry, metabolic profiling, measurement of metabolic or electric activities via probes or MEA system, and in vitro imaging using confocal microscopy). • Animal experiment
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and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
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be to quantitatively compare the predictions made by the digital twins of the patients' faces with the post-operative reality. - Collection and processing of post-operative scanner imaging data
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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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, we observed size-specificity in the adaptation process at the phenotypic, genetic and mechanistic levels. However, we still do not understand the molecular pathways by which cell size shapes cellular
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in a highly competitive international context. The project aims to prototype energy efficient solutions that will enable the HL-LHC and SKA to reliably process and analyze the huge volumes of raw data