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electric mobility and smart energy management. We design and implement charging infrastructures and advanced energy optimization systems, combining engineering, proprietary software, and strategic vision
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Intelligence Unit looking for talented and motivated candidates to work on applying AI techniques to model, predict and optimize energy systems. Join us at the heart of a mission that truly matters: transforming
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optimization of energy performance for facilities and cooling systems that support NERSC HPC operations. The position will collaborate with the LBNL Energy Manager (Sustainable Berkeley Lab Office) to help meet
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. The thematic orientation of its research concerns aerodynamics, solid mechanics and energy conversion in flows including plasma and lasers. Participation in the design and optimization of integrated energy
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control logic. - Optimization of resource usage, energy consumption, and timing performance (timing closure). Where to apply E-mail a.gutierrez@upm.es Requirements Research FieldEngineering » OtherEducation
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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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Laboratoire Interdisciplinaire des Energies de Demain - Université Paris Cité | Paris 15, le de France | France | 13 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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science, industrial engineering, or a comparable field (Master’s degree) Knowledge of modeling, optimization, and data analysis of energy systems Interest in electricity markets, energy system analysis, and model-based
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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
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
pollutants. Once validated against industrial measurements, the model will be used to propose optimal treatment configurations, including decarbonization scenarios through energy source optimization and the