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, electric vehicles, and data centers. Their conventional maintenance is often based on fixed schedules, leading to premature replacement of components and significant electronic waste. This PhD project aims
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JOIN US, TO DO WHAT? Contributing to technological innovation for clean and safe energy, health and well-being, sustainable transportation, information and communications, space exploration, safety and
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13 Feb 2026 Job Information Organisation/Company CEA Department IRIG Research Field Physics » Solid state physics Engineering » Materials engineering Physics » Crystal growth Engineering
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fracture because they naturally accommodate wave propagation and avoid the repeated solution of large nonlinear systems. Yet, they are only conditionally stable, and the admissible time step is usually
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large scale instabilities through wave–particle resonances. Both microturbulence and energetic-particle (EP)–driven modes can degrade confinement by enhancing transport, yet recent experiments and
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The detection of out-of-distribution (OoD) samples is crucial for deploying deep learning (DL) models in real-world scenarios. OoD samples pose a challenge to DL models as they are not represented
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waveforms targeting spectrum bands above 140 GHz. These frequency ranges are envisioned for very high-data-rate point-to-point links (x-haul) and/or joint communication and sensing applications. In both cases