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the enhancement of the efficiency or figure of merit of the stacks. Moreover, (ii) by using and combining various experimental techniques and methods available at the laboratory (harmonic Hall, spin pumping, FMR
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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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shaping will be central to the study. The numerical model will be based on the boundary element method (BEM) and semi-analytical approaches developed at I2M. The experimental proof-of-concept will leverage
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Computational and Theoretical Condensed Matter Physics in the Department of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and
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finding techniques, such as Newton's method, after adapted numerical discretization. There is a challenge in extending existing BVP schemes to reaction-diffusion problems, choosing suitable spatial and
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uniformity, dynamic response, and integration compatibility with modern microelectronic and photonic platforms. The project will combine numerical modelling, optimisation methodologies, and experimental
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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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with open source software frameworks and/or using modern open source code development methodology is highly desirable, as is experience with numerical methods pertaining to fluid dynamics or plasma
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, Experience with modelling and simulation of vibrations using numerical methods, NASTRAN, ANSYS, Kistler table, MATLAB, Simulink Additional Information Eligibility criteria Mandatory: *An undergraduate degree