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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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, 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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the data obtained to elucidate the reaction mechanisms, Present these findings in the form of scientific articles. This unconventional approach, which circumvents the barrier posed by microbial isolation
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experimental electronics, instrumentation development or advanced data analysis will be particularly appreciated, as well as an interest in application-oriented research and in academic or industrial
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Characterize them using biochemical, biophysical, and structural tools Develop reaction assays to confirm and quantify enzymatic activity Analyze the data obtained to elucidate reaction mechanisms Present 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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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
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in the training data and can naturally arrive during deployment (i.e., a distribution shift), increasing the risk of obtaining wrong predictions. Consequently, OoD samples detection is crucial in