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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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stochastic modeling, Bayesian inference, data fusion and modern machine learning. Its research activities span various application domains such as security, non-destructive testing, infrared imaging and
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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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technologies. The project employs an interdisciplinary approach based on collaboration among specialists in text and image analysis, natural language processing, large language models, vision-language models
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potential of three complementary mammary cell models: healthy epithelial MCF-10A cells, non-invasive tumor MCF-7 cells, and highly invasive MDA-MB-231 cells. A macroscopic phenotypic screening — encompassing
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carry out in the METAL (metals and alloys) group.There will be some occasional stays at IJL Nancy. Comparisons between the experimental results of this thesis and multiscale simulations conducted
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: The MOVING project aims to develop an ethnographic and interdisciplinary methodology for studying the traces and memories carried and transmitted through bodies, of African slavery in post-slavery and
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AI researchers from ANITI, IMT and CERFACS, as well as with researchers/engineers in weather forecastings from the CNRM (Météo-France). Hybridization methods between neural networks and physical models
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using this module in the model bacterium Escherichia coli. Redox titration approaches coupled with EPR (Electron Paramagnetic Resonance) spectroscopy techniques will be used to stabilize and study the