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Field
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of the energy efficiency of components and systems. Position description : The position is available within the Grenoble Electrical Engineering Laboratory (G2ELab), in the Power Electronics team
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PhD thesis: Graph Neural Networks for Predicting Power Consumption in Digital Electronic Architectures Power consumption analysis is an important step in the development of a digital architecture
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GOSPELS project is to design and demonstrate a new power diode based on gallium oxide (Ga2O3) and nickel oxide (NiO), optimized for power electronics. The proposed work concerns the calculation
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generation dual species Rydberg quantum computer with >400 fully addressable qubits for scalable digital QC (aQCess - Atomic Quantum Computing as a Service) currently under construction. For more information
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, embedded systems, statistics, or AI; or hold an engineering degree in one of these areas. Below is the expected profile: 1. Scientific curiosity is paramount. 2. An ability to criticize, advance, and
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of photovoltaic shadows, a backup storage system, a connection to the national network, a connection to the IC building and the necessary components of power electronics (https://avenues.utc.fr/recherche
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of the combined experimental/theoretical international ANR project PuMMAVi (Pumping, Measuring and Modeling Atomic Vibrations in the Electron Microscope) in collaboration with the Humboldt Universität
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related to staff position within a Research Infrastructure? No Offer Description [Technical] Assist the team with computer resources (access to clusters, and scaling machine learning programs), [Technical
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facilities (Nuclear Power Plants, ITER fusion machine, chemical factories…) are partially based on controls of their structures, and particularly on periodical nondestructive examination of welded joins
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26 Apr 2024 Job Information Organisation/Company Ecole Centrale de Lyon Department 69 Research Field Engineering » Computer engineering Engineering » Electrical engineering Researcher Profile First