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Field
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, abandonment, comments, peer interaction) Formalization of algorithms for orchestrating educational AI agents : Train RL and LLM agents and study multi-objective optimization (mastery, well-being stability) Work
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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to develop a new experimental method to measure these extremely small surface viscosities. The idea is simple but original: we will perform the measurement at the surface of an horizontal soap film (see figure
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massive collaborative effort among four research laboratories (CETHIL, Lafset, LMFA and LUSAC) to fully develop a versatile reversible sCO2 Brayton cycle targeted to harvest industrial waste heat. In
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the MPN team at LAAS-CNRS, which offers a fabrication platform (cleanroom) and an electrical characterization platform (GHz VNA access), along with associated engineering support. Development
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renewable energy in a dense and usable form. However, the thermodynamic and kinetic barriers associated with CO₂ reduction require the development of high-performance and selective catalysts. The selected
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learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 hours ago
to advancing algorithms for human-centered robots: robots that are not working autonomously in isolation, but that instead react, interact, collaborate, and assist humans. To do so, these robots need
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 1 day ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https