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materials offer superior electrical characteristics to silicon for power devices. Power electronic devices based on wide-bandgap semiconductors will significantly improve the performance of power electronic
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wave manipulation) and in the field of spin-to-charge conversion for the creation of broadband THz emitters (e.g. [1]). An indication of the presence of an ultrafast photo-induced spin current can
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. The postdoctoral work will be conducted within the ISGE team at LAAS, whose researchers cover a wide range of competencies, from clean room technologies to electrical energy management systems, thus providing
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charge/discharge cycles. The aim is to provide a unique tool to better understand the structure and evolution of interfaces/interphases in batteries, and thus, guide the design of more efficient and
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with the CHIMERE clinical team at the UPJV in Amiens. In this context, a digital twin of the face has been developed to visualise facial movements in real time. As part of the current SCAR_FACE
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in the laboratory that it is possible to fabricate air bridges above the switching circuits, enabling the realization of these electrical crossings above the coplanar lines, in addition to the initial
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 28 days ago
of the European Project consortium Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09638 Requirements Skills/Qualifications A deep understanding of Electrical Engineering fundamentals
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storage). Their mission will consist of developing multimodal approaches for understanding Li-ion battery aging, integrating heterogeneous data (electrochemical, electrical, thermal, usage history, etc
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embarqué, etc.) * simulation (électromagnétique, électronique, etc.) * fabrication (routage, soudure, impression 3D, etc.) * characterization (electrical, electromagnetic, radio frequency, etc
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Foundation. The position will suit researchers interested in developing state-of-the-art methods in economics to develop our understanding of current and future environmental impacts of artificial intelligence