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of various existing datasets (picking files of local earthquakes and shots), recording of P-waves converted to S-waves on OBS, construction of an a priori model based on available tomographic grids and
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particular the hypothesis that the models applied to convert ALS measurements into above-ground biomass are transferable to all Central African forest landscapes, and the hypothesis that the BIOMASS satellite
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and analyzed. The results will inform the development of new models that describe how seafloor spreading operates on short time scales. ⁃ Perform statistical analyses (assessing distributions
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genetics - Coding eco-evolutionary models - Data analysis - Interpreting and exploiting results - Writing scientific publications - Oral presentations of results - Working as a team and independently Website
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on solubility, dissolution kinetics, and microbial influences. Your work will refine global carbon cycle models, enhance CO₂ sequestration understanding, and position you at the forefront of ocean
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The postdoctoral fellow will participate in the PostGenAI@Paris AI Cluster (ANR) project at Sorbonne University, and more specifically in the "AI-Augmented Multiscale Modeling for Energy Storage" sub-project, whose
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the measurements to be performed. - Determine the isotopic compositions (δ13C and δ18O) of ostracod larval capsules using IRMS. • Organize the dataset: - Verify and update the age models of the cores. - Integrate
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that are essential to the SMIC. The postdoctoral researcher will be assigned to Dr Gianni LITI's team, 'Population Genomics and Complex Traits'. This team is one of the founding teams of IRCAN and is located
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CNRS/IN2P3 and Université Toulouse III - Paul Sabatier. The L2IT Particle Physics team contributes to understanding the dynamics of the scalar sector of the Standard Model through studies of the Higgs
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will be hosted at LCPMR (Sorbonne Université, Paris), in a dynamic scientific environment internationally recognized for its expertise in attoscience, numerical methods, and modeling. The EPAD project