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of targeting candidate signalling circuits using 2D, 3D, and in vivo models. Uncover mechanisms of action through biochemistry and -omics approaches. The candidates should: Hold a PhD degree in biology or
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Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies and solutions for a society
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to identify expected distribution patterns under different assumptions regarding variation in horizontal transfer rates * Implement a statistical version of this model designed to estimate transfer rates from
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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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learning, and generative AI - Design and implement algorithms for quantum-inspired and quantum-enhanced generative models - Investigate theoretical foundations of tensor networks, entanglement, and collapse
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et Matériaux de Poitiers (IC2MP) is a joint research unit between CNRS and the University of Poitiers, focusing on the design of sustainable reactions/products (https://ic2mp.labo.univ-poitiers.fr
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engineers and place scientific and technical excellence at the service of teaching, research and innovation. As part of the Mechanically Welded Parts Costing project, which aims to develop and evaluate
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polytopal numerical methods The conception of discrete complexes (de Rham and extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes
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Additional Information Eligibility criteria You hold a PhD in physics, physical chemistry, materials science, or a related field. You have solid hands-on experience in material synthesis under inert atmosphere
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/Qualifications • PhD in microbiology, molecular biology, or related field • Strong experience in bacteriology and molecular mechanisms of pathogenesis • Previous experience with insect models and host