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for Vehicle-to-Grid (V2G) systems based on electric vehicles and fuel cell vehicles (FCEVs), with the goal of optimizing the interaction between vehicles and the electrical grid. In particular, the research
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procedures to improve the management of the area. • Provide optimal service to employees and expert advice regarding labour legislation, ensuring compliance with the legal aspects. • Take an active part in
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work as well as to develop optimal control strategies for energy systems including building energy systems, energy storage systems and fire systems. The role will focus on conducting comprehensive data
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 22 days ago
the response of electrochemical systems in variable operating regimes. The position involves contributions to the evaluation of constructive solutions and relevant algorithms for the control and optimization
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results of experiments or projects under control or supervisory responsibility. 2. Recommends changes in research, testing or experimental procedures. 3. May be responsible for a single highly technical and
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projects.2. Operate building Automation SystemRespond to customer service calls for space temperature and other system abnormalities. Troubleshoot control systems and make corrections that will bring
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a strong background in computational modeling, optimization, and systems engineering, eager to develop advanced design and simulation frameworks for battery pack topology and e-powertrain integration
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian Multi-Energy System & Grids Team is looking for a Research Fellow in
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
has worked for over a decade on advancing the theoretical foundations of reinforcement learning, using a combination of tools from statistics, optimization and control, in order to build more efficient
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), and container technologies (Docker, Kubernetes), with proficiency in Python, SQL, and version control/CI/CD practices. Machine Learning Engineering: Demonstrated experience in the full ML lifecycle