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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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control of turbulent thermal boundary layers. 1-Context Turbulent flows dictate the performance characteristics of numerous industrial equipment and environmental applications. One important consequence
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site, the Institut Pprime is recruiting a Researcher as part of the INFERENCE project funded by the Agence Nationale de la Reche (ANR) to work on the Modeling and control of turbulent thermal boundary
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capable of explaining these observations, as well as the orders of magnitude of documented historical events. Predicting erosion pits and deposit morphology is a major challenge in the context of flood risk
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applications in programmable matter and morphing structures. While considerable progress has been made in controlling both the spatial and temporal dimensions of matter, the crucial step is translating
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project aims to design a highly-efficient heat pump based on an innovative thermodynamic principle and intelligent on-board control, in order to improve its energy performance while actively reducing its