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and difficult to anticipate. Predicting the spatio-temporal dynamics of these changes generally relies on empirical models, most of which project correlational relationships between species occurrences
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anticipating crises. Current landslide prediction models, based mainly on rainfall thresholds, become ineffective in the presence of snow cover. Snow acts as a temporary reservoir, storing precipitation before
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to experimentally test predicted models would be appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2357-PATACH-008/Default.aspx Work Location(s) Number of offers available1Company
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for online model updating. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UPR288-BERPOD-002/Candidater.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent
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spanwise wall oscillations. Parametric studies relating oscillation parameters to heat transfer metrics will be conducted. A key challenge is developing predictive models for estimating the Nusselt number as
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on spatial remote sensing and geographic information systems (GIS). The new mathematical models developed as part of the Math-Vive PEPR will serve as a basis for building predictive analysis models and
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sciences. The theoretical and methodological advances made on each model will thus inform the research on the other model. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5169-AURAVA-002
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of ongoing events or predict the outcome of its actions. It can thus proceed by trial and error, repeating actions that have led to success and avoiding those that are not beneficial. On the other hand, it can
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mechanisms for NH₃–H₂. The influence of different radiation models on the prediction of laminar burning velocity will be systematically analyzed. Sensitivity analyses of chemical kinetics and the associated
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understand the potential and limitations of reactive fluids in residential heat pump systems; - Develop robust predictive models adapted to unconventional working fluids; - Provide technological