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dozen input variables). The foreseen approach would be to build on recent developments in using CNNs for Species Distribution Models (e.g. Deneu et al 2021, Morand et al 2024) to summarise the complex
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research laboratory in solid-state physics, nanoscience, molecular chemistry, and materials science. Its activities range from the synthesis of (nano)materials and molecular systems to the study and modeling
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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the theoretical modeling of satellite excitations in photoemission spectra within the ghost Gutzwiller framework. It will involve exploring the adequacy of coupled cluster based Ansaetze as impurity solver, as
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by Times Higher Education magazine in 2018. https://www.liglab.fr/fr Main missions Refine and use large language models to attempt to simulate legal reasoning in French, and serve as a basis for tools
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- Conduct remote sensing analyses and spatial modeling of grassland ecosystems - Supervise water sampling and organize field logistics in collaboration with students and partners - Integrate ecological data
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mitigated. Key missions of the postdoctoral researcher: Model and simulate shipboard microgrids, integrating realistic dynamic marine loads, DERs,and energy storage systems. Design and implement advanced
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 15 days ago
and numerical modeling of the flaws. Subject description: The ECT problem is an interface problem by nature, since the domain of interest is composed of at least 3 different media (the material
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and physics, Materials Mechanics, Geotechnics, and Civil Engineering Proven skills in laboratory and/or field experimentation Potential aptitude in numerical modeling Ability to work in a team and in
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for high-dimensional learning and generative modeling. Research interests span representation learning, statistical inference, privacy, and generative models with applications in physics, audio, vision, and