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level of responsibility Data acquisition, analysis and comparison with theoretical models — Main duty / Medium level of responsibility Numerical simulations and development of computational tools
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project sits at the intersection of classical numerical analysis, scientific machine learning and computational chemistry. Based on regularization techniques and time-stepping schemes applied to
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consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g. finite element-based frameworks). A significant part of the work will focus
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Analysis and Scientific Computing. A PhD in mathematical optimization, numerical analysis, computer science or a closely related area is required. Candidates must show a strong research record as well
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operation in microgravity. Perform numerical modeling analysis to test and refine microfluidic devices and establish suitable data analysis tools. Advise and mentor graduate and undergraduate students on
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of the appointment. Preferred Qualifications: Candidates with strong backgrounds in kinetic equation, numerical analysis, scientific computing, PDE together with research experience in scientific
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. The ultimate objective is a validated numerical demonstrator that will support fire-safety assessment and the resilience of critical civil and defense infrastructure. Scientific Objectives The PhD
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and DFT databases, and may collaborate with experimental groups to validate numerical predictions. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR8023-MARBOC-002/Default.aspx Requirements
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green parts: porosity analysis, determination of the binder penetration profile, mechanical properties, and microstructural observations to establish relationships with process parameters. 2. Numerical
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) development of multi-physics models in both numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team