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experiments and numerical simulations and will be divided into three parts: Microstructure: 1.1. Experimental Characterization: Using X-ray tomography, image analysis with conventional tools or deep learning
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(in vitro and ex vivo) with fluorescence microscopy imaging approaches. Established in 2011, the IINS brings together 180 scientists from different nationalities and backgrounds (chemistry, structural
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scenarios for possible « hydrogen » systems in the basin. This will be done using a prototype version of the TemisFlow commercial software developed by IFPEN. - The first part of the work will consist of a
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2023 IEEE 9th International Workshop on Computational Ad- vances in Multi-Sensor Adaptive Processing (CAMSAP), pages 356–360. IEEE, 2023. [2] F. Bachoc, D. Preinerstorfer, and L. Steinberger. Uniformly
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to the problem of thermal measurement at the nanoscale. This thesis is part of the ANTICHI (Advanced Nanoscale Thermal Imaging and CHaracterization Instruments) project, which aims to provide a versatile
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masking. The research spans multiple levels, from the activation patterns of retinal cone cell ensembles (studied using adaptive optics imaging techniques) to the resulting visual appearance (measured with
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phenotypes • Analyze images and other data • Optimize induced pluripotent stem cell (iPSC) protocols • Disseminate and enhance research findings • Establish standard operating procedures (SOPs) This project is
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GRAND prototype deployed in the Gobi desert (China), and on the R&D of the larger-scale phase of the GRAND experiment, including the development of a framework for multi-messenger alerts/follow-ups
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to all IBENS platforms (imaging, genomics, plantalgae, etc.) and will benefit from a bench and office space within the team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-163
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students. It was heavily involved in various aspects of the experiment: analysis of the data collected by the prototype at CERN (ProtoDUNE), simulations and optimization of the neutrino event reconstruction