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applied mathematics and geosciences, this thesis aims to develop a mathematical model that will be validated through an iterative process of field data and numerical modeling. This will improve our
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and tissue biomechanics, in vivo mouse oculomotor behavior, and mathematical modeling -- providing an exceptional training ground at the interface of genetics, neurophysiology, and computational biology
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are planned for participation in several international conferences). Expected skills Knowledge and technical skills: • Master's degree (or engineering degree) in Evolutionary Biology, Ecological Modeling
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25 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique des 2 infinis - Irène Joliot-Curie Research Field Mathematics History » History of science Researcher Profile
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regimes; and machine learning, capturing complex nonlinear behaviour at the cost of model opacity. BENEFIT synthesises these paradigms by integrating stability analysis directly into machine learning
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mathematical models using a reasonable number of physical variables; (2) the observations of extreme weather events used in the learning bases of DNNs are much rarer than those of standard events. This induces a
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18 Apr 2026 Job Information Organisation/Company CNRS Department Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie Research Field Engineering Computer science Mathematics
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macro- scales at IJL, and to train machine learning models to predict the microstructure evolution at larger scales and longer times at SIMAP lab and Laboratoire Analyse et Modélisation pour la Biologie
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23 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire Procédés, Matériaux et Energie Solaire Research Field Mathematics History » History of science Researcher Profile First
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The