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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 24 days ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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for the project as needed. Enjoy collaborating, working with others. Emphasis will be placed on personal qualities. We offer An exciting job with an important mission in society Developing tasks in a strong and
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while maintaining computational efficiency through lower-fidelity simulation of non-critical regions, (ii) virtual sensing techniques for load and stress estimation from limited and optimally placed
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No. 76/2008 on the organization and operation of the National Judicial Genetic Data System, as amended. Application dossier (1) In order to apply for the selection procedure for a vacant research
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simulation codes such as Geant4 and/or multiscale modeling approaches will be considered an asset. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5822-FLOJAC-103/Default.aspx Requirements
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), IRCER conducts research aimed at understanding and controlling processing routes for ceramics and surface treatments in order to develop materials and components with tailored properties. IMERYS S.A. is a
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to assess and evaluate the effectiveness of coastal restoration measures in relation to ecological, social and economic sustainability aspects. The project team is transdisciplinary including scientists from
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60 research contracts per year). With a convinced vocation of cooperation with industry, UPM-IPTC focuses on technologies of social and economic interest. DATA PROCESSING AND SIMULATION GROUP The Data
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PDF containing the following documents in this exact order: -Application form (https://www.verw.tu-dresden.de/VerwRicht/Formulare/download.asp?file=E-… ) -Motivation letter – explaining the following
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numerical simulations and machine learning in order to better understand and characterize active matter systems. A possible direction is to use physics-informed machine learning techniques to connect