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to work on the use of hyperspectral data to explain and predict soil functions and communities in European mountains. We are looking for a candidate who has a very good command of artificial intelligence
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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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neuroimaging data constrained by patient's structural connectivity and tractography • Using the results of the TVB model fits to stratify patients and predict disease progression • Organizing and unifying
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/Linux environment; - Good command of scientific English, both written and spoken (certified level). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7285-CARNOE-068/Default.aspx
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(Lavrand et al., 2024) and GAG content (Scomazzon et al., 2021) on geometrically controlled structures is sufficient to modulate phase interaction phenomena. This will make it possible to distinguish between
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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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until now, even though a recently developed quantum theory for NL phenomena in this regime predicts improvements of several orders of magnitude in device performance compared to the current state
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processes. As waves break, they dissipate energy, generating intense currents that control the morphological response of beaches, including the erosion of beachfaces and dunes. Through these dissipative
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phenomena at stake and the accurate prediction of such complex multi-phase, multi-physics system is then necessary to optimize the system parameters entirely. The first step consists in designing and