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actively contribute to the NCER-D2ET (Data-Driven Energy Transition Digital Twin) project, a national strategic initiative to develop Luxembourg’s energy digital twin platform. NCER-D2ET aims to design and
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will assist in the design and testing of the leaf replica, whereas the fabrication will be performed by specialists in the clean lab. You will leverage and develop your expertise to generate new
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on building AI skills, promoting trustworthy AI, and accelerating innovation through targeted training, micro-credentials, public engagement, and industry collaboration. Within this initiative, the Faculty
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platforms for advanced automation and control. You will be mainly in charge of: Designing and deploying edge-to-cloud automation solutions for real-time operation of active distribution grids Implementing
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the Energy sector. Such a platform puts together multidisciplinary data and models covering different aspects of the energy transition, including energy infrastructure, market design, regulatory constraints
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-matter interactions, optical manipulation and computational modeling to transform innovative ideas and concepts into cutting-edge instruments and methodologies. Our RDI portfolio encompasses all levels