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. Bastian Betthaeuser working on the ERC-funded project ‘Understanding the Consequences of Major Health Crises for Education: Learning from the COVID-19 Pandemic (LEARN)’. The LEARN project: Health crises
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, machine learning techniques, etc.) is desirable. This thesis offer within the AstroParticle and Cosmology Laboratory (APC) is part of the Deep Underground Neutrino Experiment (DUNE). DUNE is an
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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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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 days ago
and fine-grained semantic information within the prompts, and assess geometric accuracy of corresponding models' answers. If necessary, we will then propose dedicated learning strategies for inducing
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new thermoelectric materials using data science and machine learning methods applied to materials, based on expert-reviewed experimental data from the literature and public databases (notably
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condensed matter physics • Ability to learn and develop skills in analytical computation, theoretical modelling and numerical simulations, in particular the numerical solution of partial differential
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hadrons acquire their mass and spin, the behavior of TMDs in the small longitudinal momentum fraction (low-x) regime remains largely unexplored. Since first-principles lattice QCD approaches are currently
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reside in France for the duration of the doctoral contract. Proficiency in or the ability to learn French is essential. The dissertation may be written in English, but it must be accompanied by an abstract
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25 Mar 2026 Job Information Organisation/Company Universite de Montpellier Department Human Resources Research Field Educational sciences » Education Educational sciences » Learning studies
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within the project AI4TECSWriting a doctoral dissertation in computer sciencePublishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and