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simulations that reproduce experimental results. The candidate will participate to the experimental data (already acquired and to be acquired) analysis and to the determination of the experimental strategy
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the analysis of astronomical data and more in general in astrophysics would be an asset. Funding category: Autre financement public Candidates recruited as PhDs will benefit from IRMIA++ funding and will have to
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Corrosion aspects will be addressed. This research combines experimental work, damage analyses (crack initiation and wear), and numerical simulations (FEM, Abaqus). The PhD will be conducted under joint
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agriculture should ensure that numerous needs are met, including those that are social and economic in nature, the SAL Lab focuses mainly on those related to the environment. Under the direction
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 9 days ago
Numerical modeling LanguagesENGLISHLevelGood Additional Information Website for additional job details https://emploi-recrutement.ird.fr/offre-de-emploi/emploi-ingenieur-de-recherche… Work Location(s) Number
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Numerical Study of Soil Remediation by Thermal Desorption with a Focus on Industrial Decarbonization
: Engineer or Master’s degree (M2) in thermal/fluid engineering or process engineering. Desired Skills: Proficiency in numerical flow simulation tools (Ansys Fluent or equivalent) Strong data analysis and
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: Doctoral degree (PhD) in physics or a MSc in mathematics, computational science or engineering Strong background in HPC and scientific computing and strong interest in numerical algorithms and
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machine components. • Application of modern measurement methods, including 3D scanning, for geometry inventory, deformation analysis, numerical model validation, and diagnostics of machine components
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to the release of large amount of gases becomes worth of investigation. Secondment: Kanazawa University, Japan 3 months, mathematical analysis a numerical solution of the flow, transport and phase transitions
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this sound like you? Then join our accomplished team! Your personal sphere of influence: The research group Statistical Analysis and Inference (STAIN)( https://stain.univie.ac.at/ )at the Department