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will focus on the development of methodologies and tools for the optimal management of Renewable Energy Communities (RECs). Optimization models and Energy Management Systems (EMS) will be developed
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for ambitious scientists seeking to transition to independent research leadership while contributing to cutting-edge, interdisciplinary projects at the intersection of AI Virtual Cell modeling, Epigenetics, and
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candidate will be a reference in advanced energy modeling, predictive algorithm design, and techno-economic optimization of railway energy systems. Responsibilities Comprehensive energy modeling
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 5 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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projects at the intersection of AI Virtual Cell modeling, Epigenetics, and Stem Cell biology. Research Focus for This Position We are particularly interested in candidates who can integrate AI-driven virtual
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LBNL & University of California energy and water efficiency goals while maintaining ongoing forecast models of NERSC energy and water demand. The role is also responsible for optimizing the Shyh Wang
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systems, including renewable energy sources and energy storage systems. Development of predictive models and soft sensors for monitoring the technical condition and operational parameters of energy
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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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, the environment and ecology, transportation, robotics, energy, culture, and artificial intelligence. Overview of the CNRS as an employer: https://www.cnrs.fr/fr/le-cnrs Presentation of IRISA as the host laboratory
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through industrial engineering and management research? This position offers the opportunity to conduct high-impact research on energy technologies, business models, and value chains while contributing