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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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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis
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Description The PhD student will join the T4-SECRET team (https://igdr.univ-rennes.fr/en/t4-secret-group-kevin-mace ), a young and dynamic group specialised in the structural and mechanistic study of Type IV
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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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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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This three-year international PhD, funded by a CNRS MITI (Mission pour les Initiatives Transverses et Interdisciplinaires) doctoral contract, is conducted in co-tutelle (double degree) between the University
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Information Eligibility criteria The candidate must: - Hold a PhD in microbiology or cell biology - Have significant experience in fluorescence microscopy: time-lapse, dynamic imaging, multi-channel, etc
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Research Infrastructure? No Offer Description The PhD will take place at LAMIH-UMR CNRS 8201, Université Polytechnique Hauts-de-France, Valenciennes, France. It is part of the JCJC ANR TeCAPE project
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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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10 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'informatique en image et systèmes d'information Research Field Engineering Computer science Mathematics Researcher