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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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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
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learning techniques (RF, XGBoost, NN, SISSO) to screen all the possible compositions of the half-Heusler family in order to find high ZT materials. - Propose new ML methods. - Perform DFT calculations
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of massive galaxies. A series of zoom-in cosmological simulations has been developed by the collaboration in order to understand the physical processes governing the extreme phases of early mass assembly in
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at play. Experimentally, this will involve preparing suitable supports and indenter surfaces prior to performing TEM measurements, in order to determine yield stress values and assess possible plastic
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quantum dots. In particular, based on our recent result in small arrays, we aim at exploiting coherent control of spin qubit in larger arrays to perform quantum simulation or algorithm. Therefore