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modeling and numerical methods Experience with multiphase flow modeling (e.g., TFM, CFD-DEM, DNS, LBM) Solid programming skills Experience working in Linux/HPC environments Ability to conduct independent
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/articles/s41467-024-49299-6 https://www.nature.com/articles/s41590-022-01208-z As a PhD candidate in our group, you will study and model the biomechanical chain of events following (blast) impacts
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 10 days ago
science as part of the ERC Starting Grant project Incorwave, which aims to develop advanced numerical and mathematical methods for passive seismic imaging. The research will focus on two key-directions: (1
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numerical modeling of heat and mass transfer processes (boiling, condensation, pulsating flows), including applications in the space sector. The profile is completed by solid computational and numerical
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/H2 flames in porous burners using direct numerical simulations (DNS) to understand NOx formation mechanisms. The research, in collaboration with CEA, will utilize the CFD code CONVERGE, employing
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Heidelberg University is a comprehensive university with a strong focus on research and international standards. With around 31,300 students and 8,400 employees, including numerous top researchers
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fundamental physical model to understand the process of fire spread for wildfires, as part of the European Research Council grant FIREMOD: (https://cordis.europa.eu/project/id/101161183 ). This is a full-time
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interaction, advanced numerical modelling, experimental techniques, sensor development, data-driven methods, and artificial intelligence for industrial applications in energy, process, and materials engineering
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Postdoctoral researcher (M/F). Modeling damage during earthquakes. Comparison with geophysical data.
generated during earthquakes. The work will be based on the joint study of micromechanical damage models and their comparison with seismological and geodetic data published as part of this same ANR project
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modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex