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, with the longer-term objective of improving the prediction of fast-charging behaviour. Your project will be to build or adapt a machine-learning interatomic potential for lithiated graphite using density
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integration scheme builds on a CEA-LETI patent that enabled the fabrication of TaN/TiN-based superconducting interconnections, exhibiting a critical temperature (Tc) on the order of one kelvin [1]. The goal
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Researcher will play a key role in the development and validation of the absorption injector, covering the full research cycle from physical modelling to experimental demonstration. Your main tasks will
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their protection against physical attacks a major challenge. Among these threats, clock glitch attacks remain a powerful and accessible fault injection technique, especially relevant for IoT and embedded systems due
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1,000 seconds. This postdoctoral position is part of a three-year collaborative project led by the Plasma Physics Laboratory (LPP) at École Polytechnique and involving German partners. The project aims
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renouvelables Description de l'offre We have an opening position for a Postdoctoral Research Staff Member in the field of plasma physics. You will be integrated in a team of physicists conducting experiment
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to a continuous latent space within a CEA consortium combining nuclear physics and AI. Durée du contrat (en mois) 24 Description de l'offre How do you predict a material's properties when the number
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, ...) ; -High level programming language: C++/Java/Scala ... - Scripting languages : Bash/Python ... - Development tools : IDE, make/cmake, svn/git, continuous integration, docker ... - Git environement Desired
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where a threshold is applied to build a binary classifier to tell if a sample is in-distribution (InD) or OoD. In particular, the confidence score threshold is typically set using the values