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suppliers and select equipment in agreement with the project leader. Operate and monitor the system using a dedicated interface. Design, validate, and optimize protocols for encapsulating biomass in
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criteria and constraints, whether scientific, technological, economic, or social. Research is organized around three teams: • CID: Knowledge, Uncertainty, Data • SCOP: Reliability, Communication
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-tuning, multimodality, MLOps, and model management. Ability to optimize AI models under energy and memory constraints. Experience applying AI across diverse domains (health, mobility, cybersecurity, energy
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solutions that maximize operational efficiency, minimize network impacts, and ensure the long-term sustainability of the proposed approaches. The project investigates optimized EV charging strategies aligned
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to climate change) under the supervision of Dr. Ashley Shade in the “Bacterial Efflux and Environmental Resistance” team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5557-BEABIG-045