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expertise in HCI and education, including adaptive gamification, engagement, learning analysis, and the design of motivational affordances in education. As part of the project, the PhD student will work with
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
macromolecular dynamics, as well as collaborations with the European MDDB initiative. The candidate will develop new graph transformer architectures to learn conformational heterogeneity from molecular dynamics
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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of France in Paris (C2RMF), in collaboration with the SATIE (Systèmes et Applications des Technologies de l'Information et de l'Energie) and the Centro per la Conservazione ed il Restauro dei Beni Culturali
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plasticity platform. Different machine learning strategies will be explored to capture the complex relationships between microstructural features and mechanical responses. In particular, the project will
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year of doctoral studies, the candidate will have the opportunity to acquire and develop digital research tools. Research questions may address concept annotation in small corpora, historical linguistics
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, learning, visual literacy, collaboration, shared spaces, physical installations, user experiments. All details here: https://bivwac.fr/jobs/ Where to apply E-mail phd-26_bivwac@inria.fr Requirements Research
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users, thanks to the use of machine learning tools and techno-economic analyses. This project is aligned with the sustainable development goals (SDG) 7 and 10 of the United Nations, by promoting a low
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reaction. This study will be carried out in collaboration with the CEA/IRFU and GANIL. The study focuses on proposals accepted at GANIL (https://www.ganil-spiral2.eu/ ) and Legnaro (https://www . lnl.infn.it
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be responsible for advancing the core research streams of the ERC LEARN project. Key responsibilities: In close collaboration with the PI and the other members of the research team, the doctoral