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laboratory. The candidate will benefit from the expertise in numerical simulation and bioinformatics available at the L2C and the IBMM. The IBMM will produce the initial glycoproteins for calculations using
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the assimilation of paleoclimate data in order to offer the best compromise between different scientific objectives for representing the climate and its variability, particularly in tropical areas. · Contribute
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to rely on physical simulation in order to understand the failure mechanisms involved. This postdoc is part of a European Union Public Interest Project (IPCEI) led by the company Schaeffler
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 16 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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), partially developed at LIENSs (e.g. Bertin et al., 2020; Martins et al., 2022), prevents the performance of simulations on sufficiently-long time scales to assess the impacts of climate change. In
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resource accumulations (such as natural hydrogen, lithium and copper) result from fluid flow, heat transfer and fluid–rock interactions over geological timescales. In order to understand these systems and
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order to evaluate as early as possible the switching performance and the best compromises between component parameters, conduction and switching losses. The different architectures will be evaluated in
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of quantum gases; Anderson problem - Numerical simulations of disordered and chaotic quantum dynamics This postdoctoral project focuses on studying a newly observed subdiffusive transport mechanism in
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electromagnetic cascade to be obtained. The initial results obtained with a small prototype subjected to cosmic rays and particle test beams at CERN are promising. They show that a stochastic sampling term of order
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on the propagation of social movements and other diffusion phenomena (epidemics, dissemination of opinions or false information). Develop modeling that may use epidemic propagation or reaction-diffusion models, or any