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) and CosmoStat at CEA Paris-Saclay, with a view to developing cosmological inference methods based on forward modelling for the analysis of the LSST survey from the Vera C. Rubin Observatory. To exploit
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are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
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consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g. finite element-based frameworks). A significant part of the work will focus
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-fuels. It will involve studying the behavior of methanol synthesis catalysts under varying reaction conditions, proposing an associated kinetic model, and implementing the reaction kinetics into a
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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methods to enhance our suite of metabolic modeling tools, including, but not limited to, the calculation, comparison, sampling, and visualization of fluxes. He or she will use these tools to integrate and
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prevalent in our daily lives, we need guarantees of correctness in sensitive areas. The CertAI project aims to advance in this direction by leveraging certified model counting to certify machine learning
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and integrate the existing MATLAB-based HFMC model with Aspen Plus to enable process-level simulation and evaluation. • Develop and assess multistage and multi-membrane process configurations for CO₂/CH
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models of the kidney-tumor system to enable surgeons to train in highly sophisticated assisted surgical techniques applied to partial nephrectomy (removal of cancerous tumors). These models are ultimately
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project funded by the French National Research Agency (ANR), the postdoctoral researcher will contribute to the modelling of interfaces whose properties vary over time. The aim of the project is to develop