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installations (laser fs or ns, XFEL, synchrotrons, high pulse power), and developing numerical simulations and analysis tools. In order to develop new models into ESTHER, the candidate will be interacting with
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. Work expected In this internship you will perform electrical characterization and modeling of 28nm FDSOI (Fully-Depleted Silicon-On-Insulator [3]) transistors in cryogenic environment, advancing
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has already demonstrated the use of these devices to train Bayesian neural networks. Existing approaches still require costly numerical operations or become less efficient as models grow. This
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scientific computing. The candidate should have strong Python programming and numerical optimisation skills. Experience with PyTorch, inverse problems, GPU programming or ultrasonic imaging would be an
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philosophy (PhD) Formation recommandée PhD in engineering or applied mathematics, especially in the field of numerical simulation Possibilité de poursuite en thèse Non Demandeur Disponibilité du poste
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-technologie sous https://www.youtube.com/watch?v=-89ypv7E340 You may be interested in these vacancies CDD 36mois - Ingénieur Caractérisation électrique de transistors CMOS H/F Ref. : 2026-41311 Fixed
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-based power electronics devices Subject The internship will deal with the development of AlN-based power devices. It will cover electrical measurements, modeling and TCAD and can constitute the
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Laboratory of Vision for Modeling and Localization (LVML) conducts its research in the field of computer vision and artificial intelligence for the perception of intelligent and autonomous systems
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Congress of Embedded Real Time Systems (ERTS 2026) , 2026. ⟨10.82331/ERTS.2026.42⟩. ⟨hal-05513843⟩ [2] Eclipse Aidge. https://eclipse.dev/aidge/ [3] Projet DeepGreen - https://deepgreen.ai/ [4] Projet
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-manual dexterous setup to reliably solve complex assembly tasks. The following works conducted at the lab will serve as a basis for the internship: https://cea-list.github.io/cotograspweb/ https://cea