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techniques to answer the biological question posed: - Immunostaining, FISH - Confocal and lightsheet imaging techniques - AAV manipulation of neural circuits and stereotaxic surgery - Cell culture - Animal
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research group in computer vision and machine learning, with seminal results in 3D reconstruction from images, scene understanding, deep learning, optimization, sparsity, etc. IMAGINE is part of
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according to their background and interests. Applicants should have strong quantitative and computational skills (e.g., text or image analysis, natural language processing, large-scale data methods) and a
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to develop chiral metal nanoclusters, understand their chirality at the atomic level through a combination of advanced spectroscopic techniques and theoretical simulations, and apply them to relevant processes
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'Cognition in Complex Situations' team, focusing on cognitive and socio-cognitive processes in human activities, considering environmental factors On February 11, 2005, the French disability law was adopted
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for manufacturing chiral metal nanoclusters of different sizes, metal compositions and degrees of chirality (intrinsic and induced). The main objective is to use the nanoclusters designed both as multiphoton imaging
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equipment, particularly in imaging and electron microscopy, image analysis, and bioinformatics. The team is composed of five people. The thesis will be carried out as part of a collaborative ANR project
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and image processing. Prior experience with data fusion, machine learning, or super-resolution methods will be considered an asset. Candidates should be motivated to conduct independent scientific
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23 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire Image, Ville, Environnement Research Field Biological sciences Environmental science Researcher Profile First Stage
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to lung inflammation and fibrosis. The student will combine structural biology, protein biochemistry, cell biology, and immunology to assess how these processes influence immune signaling proteins and their