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and aerodynamics through the use of comprehensive analysis, high-order computational fluid dynamics (CFD), and direct numerical simulation (DNS) tools. The postdoctoral researcher will work with CAMRAD
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proof theory and functional and numerical analysis, through the semantics of differential linear logic and programming languages. In particular, this project seeks to lay the foundations for a
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FieldHistory » History of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD degree in the field of analysis (theoretical and/or numerical) of PDEs
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 5 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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synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation
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Position The PhD student will work on laser imprint and ablator physics related to inertial confinement fusion. The student will be in charge of: Numerical modeling using FLASH code to prepare and dimension
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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