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implemented using a lens doublet that introduces a tunable radial delay. A more advanced, programmable method would be to use a large-aperture spatial light modulator (SLM) to impose tailored spectral phase and
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obtained Numerical modelling and inversion of magnetotelluric and controlled source EM data Interpretation of the modelling results in a geoscientific context New and further development of numerical methods
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at understanding the interplay between the above physical effects on the microstructure evolution of Al alloys during additive manufacturing using the phase-field method. The PhD student will use an in-house phase
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the candidate will combine three levels of fidelity (first-principles based tool / RANS / Lattice Boltzmann Method) to design centrifugal turbomachines answering the needs of the project REVCO2. Numerical
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fractions of organic matter (OM), using physical or biochemical methods to fractionate the OM. Colloidal OM contained in PROs could facilitate the transport of certain PFAS after the application of OWP, a
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regimes. This PhD project aims to develop predictive pore network models integrated with thermodynamics and upscaling methods toward reservoir-scale applications. We seek candidates with a strong background
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and microstructure-based modeling Experience with numerical methods for PDEs Programming skills in Python (knowledge of C++, Fortran or HPC is a plus) Scientific curiosity and critical thinking Ability
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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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numerical skills. Project management skills, excellent management of internal and external communications, and extraordinary attention to detail. Previous experience using independent judgement in a research
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methods and the development or application of computational tools to fluid mechanics problems, demonstrated through scientific publications and/or the numerical codes developed (10%). A2) Criteria