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coupling, damage evolution, and anisotropic material behaviour. These developments will result in a virtual digital framework capable of providing predictive indicators, virtual testing, and decision-support
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techniques exploring the evolution of relations between quartets of messages through encryption. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7503-EMMTHO-002/Default.aspx Requirements
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PEPR website: www.pepr-batteries.fr . Mission You will contribute actively to the development of methods for analysing heat generation of lithium-ion and sodium-ion batteries. Main activities
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models that bridge the gap between laboratory settings and natural environments. It fits with Sustainable Transitions axe of the TIRIS program (https://anr.fr/ProjetIA-22-EXES-0015 ), addressing challenges
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activity of the MOLTECH-Anjou Laboratory focuses on the development of molecular materials, whether organic or hybrid organic-inorganic, supporting high-visibility research areas such as organic electronics
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static mode and under photonic excitation in order to establish the reference electronic state of the surfaces and to monitor its evolution. THz spectroscopy will then provide access to the conductivity
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be recruited within IJCLab (http://ijclab.in2p3.fr
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-Saclay region and is easily accessible by public transportation from Paris. More information is available at https://www.ip-paris.fr . The candidate will join the doctoral school of the Institut
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 1 month ago
the development of agentic artificial intelligence systems. Unlike conventional conversational systems, AI agents can generate action plans, invoke external software tools and APIs, communicate with other agents
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damage mechanisms governing shell failure. The results will lead to the development of predictive design rules and digital tools to support high-throughput investment casting strategies. In the longer term