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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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Skills and Qualifications • PhD in Chemistry, Physicochemistry of Polymer Materials, or a related field. • Strong experience in polymer characterization. Knowledge of bio-based materials is a plus but not
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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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the CIFRE PhD student will be highly appreciated. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR125-HERMON-004/Default.aspx Work Location(s) Number of offers available1Company
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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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holding a PhD in computer science or artificial intelligence, with a strong taste for formal modelling. Experience in several of the following areas will be particularly appreciated: symbolic AI (planning
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team, where the agent will work under the supervision of a CNRS researcher and interact with researchers and students at different levels, including BTS, Bachelor's, Master's and PhD students. The agent
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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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Eligibility criteria Selection will be based on the following scientific and technical criteria: • PhD in computational biology, machine learning, bioinformatics or a related field. • Proficiency with Python