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to the viscoelastic behavior of polymeric foams under large deformations dynamic loadings. The objective is to simulate, using the finite element method, the response of these porous microstructures under complex
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. AI4GI develops tailor-made neural network architectures, including sparse and biologically informed models, to predict disease risk and complex quantitative traits from large-scale genomic data such as
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the tracking of a single NC and consequently degrade its localization accuracy. In order to maintain the accuracy of NC trajectory measurement, which is fundamental at the scale of a single molecular motor's
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: Marine Biodiversity and ecosystem functioning across spatial, temporal, and human scales”. The overall aim of the project is to acquire knowledge of the principles governing the structure, dynamics
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26 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique des 2 infinis - Irène Joliot-Curie Research Field Physics Researcher Profile Recognised Researcher (R2
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development of new battery chemistries (all-solid-state batteries for example) and large-scale applications require ongoing improvements. Proper functioning of a classical Li-ion battery requires the formation
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can generate ultra-relativistic electron beams over centimeter-scale distances thanks to extreme accelerating fields. A key limitation for beam energy is the dephasing between accelerated electrons and
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media where the large proportion of interfaces and the finite amount of matter lead to remarkable properties. The systems studied share the common feature of exhibiting heterogeneities at the nanometric
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to random bifurcations, in which the flow regime switches spontaneously from one type of behavior to another over a random time period. A paradigmatic example is the Von Karman flows, where large scale
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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