261 evolution "https:" "https:" "https:" "https:" "https:" "Purdue University" positions at CNRS
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Huismans (University of Bergen). The candidate will also collaborate with Eric Lasseur (BRGM) and Cécile Robin (Géosciences Rennes). The PhD candidate will be assigned to GET ( https://www.get.omp.eu
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chromosomes using evolutionary approaches, in the Ecology Society and Evolution laboratory at the Paris Saclay University, France. --Analyses of sex chromosomes using large NGS datasets of fungal genomes
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Paris Saclay University in Gif-sur-Yvette (South of Paris, France) and conduct research in ecology and evolution, including 125 scientists and technicians, a greenhouse and molecular biology labs. The PhD
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Lasseur (BRGM) and Cécile Robin (Géosciences Rennes). The PostDoc will be assigned to GET ( https://www.get.omp.eu/ ), a joint research unit of CNRS, IRD, Toulouse 3 University and CNES, a multi
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Laboratory for Biometry and Evolutionary Biology (LBBE) in Lyon, France ( https://lbbe.univ-lyon1.fr/en ). The LBBE comprises approximately 200 people; the research conducted there is based on three
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University of Bordeaux. CEFE is one of France's largest ecology laboratories and a particularly suitable venue for conducting interdisciplinary research in eco-evolution. The ECO-EVO BIODIV project is based
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, their photoluminescence properties have been less thoroughly explored. In this context, the AI-Unclon project funded by the ANR aims to use machine learning tools to predict the evolution of
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laboratory to evaluate the protection mechanism of targeted treatments based on the innovative use of electrochemical cells coupled with, on the one hand, Raman spectroscopy to characterize the evolution
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into account geomorphological glacier conditions and local climate, that will finally make estimates of future glacier evolution more robust and spatially coherent. Where to apply Website https
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has quantified the evolution of natural avalanche activity under climate change in an exemplary alpine valley, the Haute-Maurienne (Doussot et al., 2026). Combining a statistical learning model trained