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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 1 day ago
funded by the prestigious Programme Inria Quadrant (PIQ) for the project DynaNova, which aims to advance our understanding of conformational dynamics and allosteric communication in macromolecular
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interference effects and more realistic, correlated disorder models, in order to determine whether it can lead to dynamical localization in energy. The work will primarily target one-dimensional systems
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of natural selection. In this project, we are therefore interested in prebiotic chemical systems, with the prism of classical theories in ecology and evolution (ecological interactions, invasion dynamics, non
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Systems. - Stochastict ODEs and their numerical solutions, Langevin dynamics in particular. - System Biology. - Experimental Molecular Biology. - Stress Biology. - In general, a combination of solid
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dynamical systems), epidemiological modelling, data analysis (statistics, machine learning). • in scientific programming (preferably Python, Matlab, R) Genuine interest in the analysis and modeling
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robots with an optical localization system enabling them to navigate autonomously in dynamic and unstructured environments. This requires the robot to be capable of localizing itself within
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17 Nov 2025 Job Information Organisation/Company INSA Rennes Department Bretagne Research Field Juridical sciences » Environmental law Researcher Profile Recognised Researcher (R2) Positions Postdoc
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the dynamics and statistics of topological defects in active systems, using continuum theories of active ordered states. This project will require both numerical and analytical work. The position will be based
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26 Nov 2025 Job Information Organisation/Company CNRS Department Centre de recherche sur l'hétéroepitaxie et ses applications Research Field Chemistry Physics Technology Researcher Profile First
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 9 days ago
dynamics in health and pathology; (2) in silico models, including Bayesian models, neural mass models and spiking neural networks; (3) in vitro neuronal network measurements. Our aim is to innovate in