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, memory availability, and energy efficiency, while introducing new complexities in resource allocation, model deployment, and system optimization. At the same time, AI models, especially deep neural
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local dynamic modifications induced by laser at different time and energy scales in thin films of metal oxides (transparent conductive oxides). The idea is to provide energy with precise spatial and
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.) must contribute to the effort to reduce GHG emissions. Clouds, despite their ability to optimize processes in other sectors (transport, energy, agriculture), are no exception to this observation
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systems for solar-driven CO₂ conversion into C2H4, using only solar energy as low carbon-emission process. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7515-JULBER-109/Default.aspx
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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 21 days ago
3 Apr 2026 Job Information Organisation/Company Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité Research Field Chemistry Physics Researcher Profile Recognised
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3 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire Interdisciplinaire des Energies de Demain Research Field Chemistry Chemistry » Computational chemistry Researcher Profile
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 12 days ago
, energy optimization, and sustainable urban mobility. The position focuses on the development of a hybrid electromobility model within the eMob-Twin platform, combining large-scale mobility data from
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to renewable energy sources. Thermodynamic cycles (power generation cycles, refrigeration cycles, heat pumps) play a central role in this transformation, but their optimal design remains a complex scientific
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technology and energy to transform society and industry through training, research and innovation. It aims to be the leading French higher education and research institution in this field on an international
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optimization-based network partitioning point to scalable, communication-aware control designs; stochastic MPC and co-design studies demonstrate methods for handling uncertainty and jointly optimizing assets and