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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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the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence
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to improve the energy resolution of jets at FCCee. This task will require again GEANT4 simulations of the detector, including the optical model but necessitates as well to educate the simulation with
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self-supervised learning model, -Evaluating model performance using both simulations and experimental data, -Transitioning from a task-specific model to a foundation model, -Benchmarking results against
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Team : We seek a researcher with demonstrated experience in perturbative modeling of LSS (in particular biased tracers of dark matter), analysis of simulated datasets, and strong programming in Python
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optimize deep learning models, trained for the reconstruction of events generated with this simulation framework and targeting their application on a distributed trigger system based on several processing
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of balancing selection is. In this context, we have launched the BalanSe ANR to better understand the importance of balancing selection in non-model organisms. This project will rely on a combination of
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deformation behaviors. This will be supported by numerical simulations developed by the LEM where nanoindentation simulations at the atomic scale will be performed by Molecular Dynamic (MD) as well as finite
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Modelling the oil market: A first output of this project
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understanding its internal structure. Interpreting these geophysical data to model planetary structure and dynamics depends on understanding the physical properties of materials under relevant pressure and