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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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modeling and dental topography allow the extraction of quantitative morphological descriptors and their integration with macroevolutionary models (e.g., Brownian motion, early burst, Ornstein–Uhlenbeck
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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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Duration: 3 months Maximum Duration Including Renewals: 3 months Objectives To develop a model for the implementation of drone air corridors communications in 5G-NR SA networks, identifying the required
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Applications are invited for the above post, to start in April 2026 for a fixed term of six months. The successful applicant will work with Dr Alice Thompson on modelling fluid flow and transport in
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of computational fluid dynamics (CFD) models describing thermochemical conversion processes of biomass and waste-derived fuels, including combustion, pyrolysis, and gasification. The successful candidate will
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), colloidal physics and numerical modelling (LGC, Toulouse), and dense protein systems and drying (STLO, Rennes). The present postdoctoral position, under the supervision of Yannick Hallez and Martine Meireles
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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-41 https://doi.org/10.1016/j.psep.2020.07.017 🎓 What you will gain • Strong expertise in advanced kinetic modeling • Hands-on experience with calorimetric instrumentation • Exposure to DFT and AI