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in the numerical modeling of crack initiation, crack propagation and fracture in CCAs prospective for hydrogen applications, which will be performed by finite element method (software Ansys) and
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mathematics (PDE and numérical methods) with a strong interest in geosciences. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7013-CARLUC-002/Default.aspx Requirements Research
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of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills (at least B2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally
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knowledge of numerical methods Experience with flying drones and drone data processing (thermal IR, multispectral, LiDAR), fieldwork experience Strong English communication skills. Knowledge
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, Infected macrophage populations. Perform parameter estimation using optimization and machine learning approaches Develop numerical schemes for high-dimensional structured PDEs (pseudospectral methods
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combines numerical simulation, finite element methods (FEM), and artificial intelligence applied to biomedical engineering. The selected candidate will be part of the Institute for Intelligent Systems and
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pipelines by combining statistical, synthetic, and decentralized methods to improve both the privacy and utility of anonymized datasets. Moreover, this research will examine the potential of AI and LLM
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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Computational Mechanics. Solid background in continuum mechanics and numerical modeling Strong interest in machine learning and scientific computing Experience with numerical methods for PDEs and data-driven
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micro-PIV; iii) numerical simulation of flows using CFD tools. 8. Recruitment method: In accordance with articles 26 of the Regulation and 5 of the RJEC, the selection methods are: Evaluation