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uncertainties (delays, resources, failures) using various methods, including Bayesian approaches. 3. Optimize the workshop configuration, taking into account scenario variability, by relying on the surrogate
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investigated. These interface models and characteristics will then be transferred to other researchers for larger-scale modelling (molecular dynamics, finite element modelling of the battery…). The post-doc
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expertise in finite element simulation and poro-elastic media modeling. Skills in identification, biomechanics, and homogenization are a plus. Website for additional job details https://emploi.cnrs.fr/Offres
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to do a proof of concept by first implementing the gravity anomaly using a boundary element method for homogeneous media (Cayol et al., 1997), before switching to a fictitious domain method for
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for the modulation of their optical properties under an applied voltage. The EC- LIPSE projet concerns the eco-design and development of innovative sustainable methods for the fabrication of efficient optically active
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structural health monitoring of structures immersed in heavy fluids, by continuing to develop the “Modal Strain Energy” and “Matched Field Processing” methods for detecting and locating a potential defect in
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synthesis method for high-entropy alloy nanoparticles (nano-HEAs) and evaluating their catalytic performance in CO₂ methanation, a key reaction for converting renewable energy into synthetic gas
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with experimental groups. The activities will be centered on engineering of topological states for photonic modes, including non-linear and non-Hermitian effects. Another crucial ingredient will be
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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be