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department and the Plant Reproductive Strategies (SRP) team. Our team focuses on the evolution of plant reproductive systems, using diverse approaches including theory, experimentation, bioinformatics, and
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rely on the precise control and understanding of material, electronic and topological properties of 3DTIs. In this project, we propose to characterize the electronic properties of gated devices
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combine density functional theory (DFT), molecular simulations, and machine-learning force field (ML-FF) development to uncover the factors controlling NHC–surface interactions and to model realistic
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of Research ExperienceNone Additional Information Eligibility criteria Required scientific & technical background : - Materials science (theory, practice), with emphasis on composites and CMC - Materials
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learning and statistics. A good command of Python programming is essential, as is a good command of English, both spoken and written. Skills in optimal transport theory and knowledge of generative models
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geometry in control theory, etc.) and in the field of education. Where to apply E-mail job-ref-30ksvouid0@emploi.beetween.com Requirements Research FieldEnvironmental scienceEducation LevelPhD or equivalent
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geometry in control theory, etc.) and in the field of education. Many phenomena observed in the ocean or atmosphere are still not understood. Using compressible or incompressible models, we will seek
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 3 months ago
traditional cellular systems, each device is allocated orthogonal resources prior to uplink transmission via a grant mechanism. However, this allocation requires signaling on control channels, which can exceed