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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while
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to the development of energy models; • to access complementary experimental platforms; • to strengthen Franco-Canadian scientific collaborations. The project also benefits from industrial support through
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matter. The diversity of the topics we study allows us to tackle both long-standing and emerging problems by combining modeling and experimentation at the highest level. Located on the Monod campus
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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computational and energy costs of LLMs, this work will focus on smaller, domain-specific models. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8254-SYLDES-026/Default.aspx Requirements
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generative models mostly operate as black boxes: they generate images or environments without being able to justify their choices or integrate the epistemological constraints specific to the humanities
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experimental methods are available and currently fully operational in the laboratory. Collaborative Environment: Centrifugal instabilities are not limited to magnetized plasma columns in the laboratory but also
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties
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). The work plan includes: . A detailed literature review on boiling flow regimes and their modeling. . The enhancement of the ConBo experimental setup with the integration of a Wire Mesh Sensor (W) to measure
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Belfort-Sévenans. The primary objective of this doctoral thesis is to reconsider current models related to economic structures and the connectivity of human communities during the early Middle Ages (6th