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26 Mar 2026 Job Information Organisation/Company CNRS Department Géosciences Rennes Research Field Environmental science Environmental science » Earth science Environmental science » Global change
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environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling
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]. These systems are characterized by highly nonlinear, anisotropic, and time-dependent responses governed by evolving internal mechanisms and environmental conditions, making their predictive modeling particularly
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. Laboratory tests often fail to reproduce field behaviour, suggesting that key environmental parameters are currently overlooked. This PhD project aims to bridge this gap by developing testing methodologies
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://go.fzj.de/languagerequirements ) Optional: background in agriculture, environmental or geosciences, and some understanding of soil/plant systems Optional: interest in data science or modelling Our Offer: We
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20th April 2026 Languages English English English Interested in how chemical contaminants influence radionuclide transfer in aquatic ecosystems? PhD scholarship within Environmental Radioactivity
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experience in the processing and integration of massive datasets (‘big data’), they will contribute to ecological modelling, environmental impact forecasting, and soil biodiversity analysis in the central
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models of sporadic low-grade glioma and Neurofibromatosis Type 1 (NF1)-related optic pathway glioma to accomplish these goals. We are additionally interested in how environmental exposures affect the non
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analytical approaches and technological tools (e.g., artificial intelligence, remote sensing, environmental informatics, predictive modeling, and/or environmental genomics). Research should address pressing
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data, water balance models, vegetation/greenness datasets, and other large-scale climate or environmental data products. Record of peer-reviewed publications , including leading or significantly