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24 Apr 2026 Job Information Organisation/Company CNRS Department Groupe de recherche en Informatique, Image, Automatique et Instrumentation de Caen Research Field Mathematics History » History
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organizes a scientific program. The goal is not only to establish international collaboration but also to develop strong synergies between laboratories, researchers, and PhD students within the mathematical
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on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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that incorporates a broad range of neutrino and dark-matter models, assessing their effects on large-scale-structure (LSS) statistics as measured by the power spectrum and bispectrum of galaxies or intensity maps
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30 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique subatomique et de cosmologie Research Field Mathematics History » History of science Researcher Profile
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8 Mar 2026 Job Information Organisation/Company CNRS Department Centre de Physique des Particules de Marseille Research Field Mathematics History » History of science Researcher Profile First Stage
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7 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First