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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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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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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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: www.esric.lu How will you contribute? As part of a new phase of growth for ESRIC, supported by the FNR PEARL programme “Solutions for the Sustainable and Responsible Uses of Space Resources”, we are seeking a
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literature analysis, including works in both computer science, psychology and automated control. · Develop testing approaches and undertake extensive simulator studies. · Writing of research
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and entrepreneurship in all areas · Personalized learning programme to foster our staff’s soft and technical skills · Multicultural and international work environment with more than 50
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and relevant state-of-the-art technologies. S/he will benefit from an active seminar program, international conference attendances, opportunities for professional growth. The project will be carried
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5,000 square metres, including innovations in all that we do · An environment encouraging curiosity, innovation and entrepreneurship in all areas · Personalized learning programme to foster
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entrepreneurship in all areas Personalized learning programme to foster our staff’s soft and technical skills Multicultural and international work environment with more than 50 nationalities represented in our