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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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renewable postdoctoral position is part of an innovative project focused on characterizing the modification of bio-based materials using natural enzyme mimics capable of oxidizing biomass, particularly
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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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comparison with predictions from machine learning models • Close collaboration with researchers in charge of machine learning, algorithmic architecture and performance analysis • Contribution to the scientific
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-Gobain and is hosted within the Saint-Gobain Innovation Hub Europe. The recruited person will report hierarchically to Hervé Montigaud. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR125
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, automated reasoning, constraint or answer-set programming (ASP), rule-based systems); knowledge representation (ontologies, knowledge graphs, state machines); formal methods and verification (model checking
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sciences, hybrid materials, electrochemistry, photochemistry, methodological developments in analytical chemistry, and molecular modeling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6230
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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sorting and injection of RNA and/or proteins, is also required. The agent should be able to read, understand and apply data from the scientific literature. Website for additional job details https