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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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                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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                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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                consolidator project (SymbiOCEAN) led by the Photosymbiosis team. Several interactions will take place with the Grenoble and EMBL imaging platforms, and with the project's local and international partners during 
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                to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus 
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                to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus 
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                to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer science. As part of Bordeaux Neurocampus 
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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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                environment, with access to state-of-the art brain imaging facilities (two research-dedicated MRI scanners / 1.5 and 3T, hybrid PET-3T MRI, MEG-EEG). The vibrant research community at CRNL and other nearby 
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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