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, easily accessible via the CEA's soft mobility program. A unique research environment dedicated to topics with high societal impact. Experience in a cutting-edge field of innovation with strong industrial
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on efficiency in surface, power consumption, and computing performance. Vision Transformers (ViTs) have recently demonstrated superior performance over Convolutional Neural Networks (CNNs) in a wide
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that correspond to InD samples, such that 95% of the confidence score values from InD samples fall above the selected thresholds, i.e., 95% True Positive Rate. However, setting a fixed threshold can lead to high
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. The approach used relies on developing machine-learning interatomic potentials based on ab initio calculations, which are then employed to perform large-scale classical molecular dynamics simulations. However
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doctoral students, definition of research proposals for national or international funding. WHY WORK WITH US ? You will be able to deploy your knowledge and skills by delivering high quality output in
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of this internship is to develop wideband or dual-band matching networks and power combiners using an analytical approach that enables the direct synthesis of these components from specified performance requirements
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:00 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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Stage - Generative Privacy Attacks and Defenses in Federated Learning via Diffusion Models H/F This internship focuses on exploring the dual role of diffusion models in Federated Learning: understanding how they can be used to reconstruct sensitive client data and designing robust defense...
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statistically significant results on ferroelectric capacitor performance. The post-doctoral research will give a better understanding of the influence of dopants on local chemistry, electronic structure, phase