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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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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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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
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into host cells. They play a central role in the spread of antimicrobial resistance and in numerous pathogenic processes. This doctoral project aims to elucidate the molecular mechanisms of substrate
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and adapted tools for the processing of signals or images acquired with biomedical sensor networks (cardiology, neurosciences) or in geosciences (seismology and marine ecology), but also in wireless
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from fossil fuels. Yet, many industrial and transport applications still rely on combustion due to their need for high energy densities and thermal processes. Electrofuels (e-fuels), produced from
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solution, e.g., event-based computing, which is particularly suitable for low-latency and low-power systems. In this promising computational paradigm, information is created, processed or transmitted only