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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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energy optimization strategies to improve performance, reduce costs, and support sustainability goals. Manage utility procurement, consumption analysis, metering systems, budgeting support, and internal
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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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solar cells. The Postdoc will be in charge of the development and optimization of the fabrication of the c-Si solar cell. He/She will start with a process already developed at INL, and will optimized each
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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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on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Cushing Lab (https://cushinglab.caltech.edu/ ) seeks a
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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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learning and artificial intelligence to optimize cellular immunotherapy to treat cancer. A particular focus will be on the optimization of CAR-T cell therapies to improve efficiency of tumor control and
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, and optimize TRANE Building Automation Systems (BAS) to ensure system performance, energy efficiency, reliability, and occupant comfort. Perform advanced troubleshooting, maintenance, retro
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and validation of design, simulation, and experimental testing methodologies for aerostructures in the fields of energy and mobility, such as airfoils and turbine blades. The activities will include