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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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the society to develop alternative technologies to fossil fuels. Green hydrogen, i.e., hydrogen that is produced through electrolysis of water powered by renewable energy, has been recognized as a sustainable
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integrating local flexibility markets through distributed AI-based coordination, market mechanism design, and cloud-to-edge computing. It aims to develop scalable machine learning methods for coordinating grid
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requirement What ESRIC and LIST can offer ESRIC has an ambitious development plan over the next years, adding further partners and expanding its activities. It is at the forefront of an emerging field that will
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I-2503 – PHD IN EXPLAINABLE AI FOR DATA-DRIVEN PHYSIOLOGICAL AND BEHAVIORAL MODELLING OF CAR DRIVERS
for Next Generation of Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a PhD candidate in artificial intelligence and
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: · Developing mathematical optimization approach and tool for optimal operation of smart low voltage grids with high penetration of distributed energy resources · Producing quality research outputs (e.g
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experiences to their customers. This PhD will focus on improving this understanding, identifying critical parameters and developing test approaches to address this gap. The candidate will be expected to lead
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general, with other LIST units requiring expertise in the Frugal AI field. The SWRDI team specializes in the design and development of smart (i.e. AI-enhanced) software systems. We believe energy concerns