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The proposed PhD project is part of the PEPR FORESTT, a national interdisciplinary research program aimed at studying the socio-ecological transition of forest systems. The targeted MONITOR project within
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Programme (PEPR) Forest Resilience (FORESTT – https://www.pepr-forestt.org/ ), funded by the French Plan d'Investissement d'Avenir (PIA) France 2030. FORESTT aims to support the transition of forest socio
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nanoindentation mapping. Materials Characterization, 216, 114244 [4] Dziri, A., Ammar, K., Forest, S., Proudhon, H., Sirvin, Q., Richeton, T., & Texier, D. (2025). Effect of oxygen content on elastic properties
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ECOFEU project – in collaboration with CNRM (Météo-France/CNRS) and CECI (Cerfacs/CNRS) – addresses the growing risk of forest fires in France, exacerbated by climate change and forest dieback. By
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning
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complete pollen analysis on target sites • Reconstruct the history of plant composition and abundance. The candidate will produce maps of regional landscape openness and types of forest cover over the last
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on biodiversity conservation through multidisciplinary approaches in population ecology and social sciences (conservation management sciences, political science, conservation psychology). https://cesco.mnhn.fr/fr
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components as well as applications to Lyman-alpha forest also foreseen. The selected postdoc will also have the opportunity to join the Euclid Consortium within the framework of the project. Qualifications and
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effects on transpiration) both for future scenarios and past climates studies. Over the last years, ORCHIDEE modeler team has undergone substantial advancements, with the incorporation of forest demography