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school or a master student (Bac+5) in a field related to machine learning/AI, who wishes to conduct research and development in an emerging, yet impactful field, in a collaborative environment. The intern
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degree student (M2/Bac+5/Engineering school) specializing in materials science. Basic knowledge in solid state physics, statistical mechanics, or nuclear engineering would be appreciated, but is not
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efficiency exceeding 15%, based on GaN technology. Methods / Means Analytical, Matlab, ADS, Python Applicant Profile You are working toward a master of research or engineering degree in electrical engineering
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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 in the training data and can naturally arrive during deployment (i.e., a distribution shift),...
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POSTDOC (M/F) - Modeling and Analysis of Prospective Scenarios for Hydrogen in France and Germany The use of hydrogen produced by electrolysis, along with its derivatives (such as synthetic methanol and synthetic kerosene), is one of the solutions envisioned to decarbonise certain sectors such...