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develop techniques to tackle the dynamics of these systems both in imaginary and real time. The latter will form a quantum inspired quantum computer emulator that should be able to tackle large systems
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of synchronisation and complex dynamical systems; • Ability to work independently while contributing effectively to an interdisciplinary team. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR5263
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systems still face major challenges when operating in fluid environments such as air or water. Unlike ground robots, aerial and underwater robots exhibit dynamics that are strongly coupled with
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education for agriculture, food and the environment, l’Institut Agro covers the full range of fields and sectors related to plant and animal sciences, including viticulture and wine, horticulture, fisheries
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the Crip1a protein modulates CB1R signaling through long-range allosteric interactions and in synergy with specific lipids, namely PUFA-PL. This modulation alters the receptor's conformational landscape and
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 2 months ago
the Auctus team at the Inria center of the University of Bordeaux (Talence). Thisthesis falls within the scope of the team'sscientific axis on the design and control of robotic systems. The project will
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and Université Côte d'Azur. INPHYNI is a physics laboratory covering a broad range of research topics, with strong activities in fluid mechanics, soft matter physics, biophysics, microfluidics, and
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are critically influenced by crystal symmetry, spin–orbit coupling, and structural distortions. This project aims to go beyond conventional carrier dynamics by combining non-resonant and resonant excitation
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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French multinational company and a world leader in the production and processing of industrial minerals, serving a wide range of high-performance industrial applications. This PhD project is part of