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and to characterize interactions with fire regimes. Ultimately, these results will also contribute to a combined paleo-modeling approach at the core of the RETROPEST project (https://anr.fr/Projet-ANR
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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vulnerability maps at the urban scale • Contributing to simplified modelling approaches linking processes and observations • Disseminating results through peer-reviewed publications, conferences, and stakeholder
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. These data will be integrated into TemisFlow (Themis) thermal models to reconstruct the thermal and subsidence history of the basins. The modeling will quantify the distribution of heat flow during
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment
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of the microbial ecology results in mineralized environment in the petrology and thermodynamic modeling components of the project. This project involves 6 (teachers)-researchers and research engineers from
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of reactions between the metal-bearing hydrothermal fluid and organic carbon. The task will implement an innovative methodology integrating in-situ spectroscopy and physicochemical modeling. Through
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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-Valéry Montpellier 3 University / CNRS), and movement science experts (EuroMov DHM – University of Montpellier / CNRS). Its aim is to model the articulation between gesture and speech through the study of