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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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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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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 aim of identifying relevant topological invariants to characterize the underlying dynamics and guide the selection of appropriate reduced models. - Adapt and implement existing topological tools
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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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extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes The development of the computational kernel of the NEMESIS software library
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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
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postdoctoral researcher to study establishment of cell identities in human and mouse cerebral organoid models. - Study cell identities and lineages in physiological and pathological contexts - Develop protocols
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porous media (imbibition, wetting, flow, etc.). The approach will be essentially experimental, combining model debinding tests on various specimens with characterizations. • Determine the main mechanisms