13 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" positions at CEA
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Postdoc Modelling, CFD and Experimental Development of an Innovative Absorption Injector H/F Modelling, CFD and Experimental Development of an Innovative Absorption Injector The Postdoctoral
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Domaine Physique du noyau, atome, molécule Contrat Post-doctorat Intitulé de l'offre Post-doctorat - HED models development into the ESTHER code and experimental applications - H/F Sujet de stage
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. The postdoctoral researcher will contribute to the following tasks: Formal modeling of clock glitch effects. Develop a discrete fault model suitable for formal verification, based on the Energy Threshold Fault Model
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Domaine Physique corpusculaire et cosmos Contrat Post-doctorat Intitulé de l'offre Development and Exploitation of a Poloidal Correlation Reflectometer for Turbulence Studies H/F Sujet de stage
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Numerical analysis of fully explicit phase-field models for dynamic fracture of materials H/F Numerical analysis of fully explicit phase-field models for dynamic fracture of materials Understanding
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interactions in images or videos has significantly improved with the emergence of Large Language Models (LLMs) and Vision-Language Models (VLMs). However, these large models, whether used directly or distilled
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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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of the computing system integrating an optical link and develop appropriate model in VPSim plateform - Develop a high-level virtual prototype based on CEA VPSIM simulation tool to provide first estimations of KPIs
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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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safety-critical tasks, such as healthcare or automated vehicles, where trustworthy models are required. The existing literature for the OoD detection problem focuses on the development of confidence scores