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responsible for a research project aimed at understanding how macrophages and their tissue niches influence homeostasis and tissue repair in vivo, using original and innovative models. The position is based
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modelling of 106Ru atmospheric transport in 2017 over northern hemisphere, Journal of Environmental Radioactivity, Volume 275, 2024, 107416, ISSN 0265-931X, https://doi.org/10.1016/j.jenvrad.2024.107416
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theoretical models and numerical tools (master equations, quantum trajectory simulations) to investigate coupling regimes, dynamical phase transitions, and the effects of collective dissipation on coherence and
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provides a dynamic environment for theoretical research and interdisciplinary collaborations within this leading mathematical community. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7598
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catalytic strategies for the formation of C–C and C–X (X = N, O, S) bonds through inter- or intramolecular coupling reactions using original substrates. A particular focus at the beginning of the project
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to innovation for patient care. Jean-Léon Maître, head of the “Mammalian Developmental Mechanics” team (https://institut-curie.org/team/maitre ), is seeking a postdoctoral researcher with a strong interest in
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-destructive, fast, and suitable techniques for qualifying integrated electronic circuits at the end of their first life cycle, in order to facilitate their reuse. 1. Study of the main aging mechanisms and their
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hyperparameters. Your main responsibilities will be: To carry out research missions in the field of Optimization for Machine Learning To ensure supervision and tutoring missions To contribute to the reputation
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to develop a new generation of fluorescence microscopy methods aimed at overcoming current limitations in acquisition time for single-molecule imaging. The project explores original strategies for temporal
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HTML user interface for visualising the final data resulting from the screening. - Contribute to the development of an original method for searching for pharmacophores based on raw data from virtual