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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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partners ISIR and IRCAM, as well as the industrial partner Renault/Ampère. The thesis is also closely aligned with the objectives of the EquipEx+ TIRREX project, which focuses on the development
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development have been set-up to respond to these societal issues. Scientific supervisor: Thomas Berthelon - MOST team ([email protected] ) Where to apply Website https://emploi.cnrs.fr
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field) and ground-based (radio) data - Use of various software codes: (i) radio emission simulation code, (ii) solar wind propagation code. - Development of software (preferably in Python) for data
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the ARS Mayotte teams to present their findings and develop their research project. Additionally, they will have the opportunity to engage with national networks in mathematical epidemiology modeling
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, United States) demonstrated net en-ergy gain in inertial fusion for the first time, marking a major scientific advancement. This breakthrough has since spurred numerous international projects aimed at developing
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, the ability to analyze the full dataset collected by the experiment will be severely limited. The L2IT is a leader in developing new track reconstruction algorithms using geometric deep learning methods
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: automating information extraction from unstructured data, proposing a common representation of multi-source data, developing data fusion and knowledge enrichment methods, automatically detecting anomalies, and
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, which are essential for addressing the intermittency of renewable energy sources and for decarbonizing transportation. The objective of this project is to develop new solid electrolyte materials
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This recruitment will take place within the framework of the PEPR moleculArXiv, the objective of which is to prepare macromolecules containing digital information. The recruited person will join the Laboratory