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closely with LULI's exper-imental teams involved in the Taranis project. This thesis focuses on the theoretical and numerical study of parametric instabilities driv-en by broadband, low-temporal-coherence
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barriers (modelling, experimentation, and monitoring), (ii) Determination of the impacts of subsurface exploitation and usage (induced seismicity, pollutant migration, CO₂ and associated impurities leakage
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, if possible with a focus on modelling/numerical simulations. • A good level of Python programming is required. • A level of scientific English sufficient to conduct research and build international
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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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Description The PhD student will join the Centre for Research on Animal Cognition (CRCA), an institute dedicated to multidisciplinary and comparative studies of cognition in various animal models. Based
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activate spinal networks. This PhD project aims to investigate the underlying mechanisms of rSynES-induced recovery using a mouse model of cervical SCI, through longitudinal assessment of molecular and
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, biophysics, biochemistry, and molecular modeling, developing experimental and numerical approaches for the study of complex molecular systems. Within this institute, the Biophysics of Complex Systems team
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with a background in fluid mechanics or thermal engineering. Given the scope of the research project, a strong interest in both experimental work and numerical modeling is essential. Familiarity with
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
all their advantages observed and demonstrated in the litterature, developing these robots comes with challenges such as the presence of singularities and elastic stability deficiency, models with high
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, numerical process simulation, and advanced characterization techniques (synchrotron, TEM, EBSD), will be implemented. The ideal candidate will hold a Master's degree or an engineering degree in Materials