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phase-field models require the underlying free-energy density as an input. This internship aims to compute that free-energy landscape from first principles and transfer it to continuum electrode models
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environment. A good command of written and spoken English is essential. Why Join Us? This position offers a unique opportunity to work on an innovative and potentially disruptive energy technology addressing
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Controlling and manipulating quantum information using advanced nanoelectronic technologies represents a major challenge currently undertaken by CEA-LETI and its partners. A key objective of this
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(laser, X-rays, electrons, ions, etc.). It accounts for the hydrodynamic evolution of fluid or solid materials (including mechanical effects), energy deposition of different types, thermal conduction
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, leading three ambitious, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a
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of this postdoctoral project is to develop the first formal methodology for analyzing processor robustness against clock glitch attacks by combining experimental characterization of clock glitches and formal
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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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tutorials as well as in the valorization of our innovations. #CEA-List ; #researcher ; #Nanotechnology ; #Simulation Model You have an engineering/master's degree or a PhD in the field of computer
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Domaine Mathématiques, information scientifique, logiciel Contrat Stage Intitulé de l'offre Stage Human-Object Interaction benchmarking-Saclay-H/F Sujet de stage The interpretation of human
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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