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of very-high-energy gamma-ray sources, in the context of study of magnetic fields in the Milky Way galaxy and in the intergalactic medium. The work will include development of numerical code for modelling
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. This data is crucial for improving the numerical models aimed at simulating crystal morphologies and interfacial dynamics, as well as gaining a better understanding of the solidification mechanisms. Where
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extended complexes) The application to various models of MHD and flows in porous media The numerical analysis of the schemes The development of the computational kernel of the NEMESIS software library
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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
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will be hosted at LCPMR (Sorbonne Université, Paris), in a dynamic scientific environment internationally recognized for its expertise in attoscience, numerical methods, and modeling. The EPAD project
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. ISTerre is part of the Observatory of Universe Sciences (OSU) at Grenoble Alpes University (UGA), which is responsible for numerous national observation services. This work will be carried out under
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 21 days ago
Devices" ). • Bring various improvements on the synthetic model (vasculature shape / aneurysm / background noise modelling) • Numerical simulations will be performed on a GPU HPC cluster. • Programming in
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the strategy to be applied for training a learning model to predict wind and precipitation conditions based on a dataset combining numerical weather prediction models and in situ observations; Collect
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such as Euclid poses many modeling challenges. The COLIBRI ERC aims precisely to develop new theoretical and numerical tools to overcome one of these challenges: baryon modeling. The CDD will have two
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 21 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