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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
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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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member of "Carb2Mol" and considered for integration into the Graduate School “Engineering Covalent Bonds in Molecules and Materials” Ec=m2 (RTG 3082; https://www.uni-saarland.de/forschen/ecm2.html
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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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are computationally prohibitive, which limits their applicability to a restricted set of parameters and configurations. In this project, we aim to develop novel analytical and reduced-order numerical methods
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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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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 17 hours ago
. · apply numerical and theoretical methods to explore magnetic behavior at the atomistic level, · refine the project’s research objectives based on emerging findings, · independently propose and pursue
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 17 hours ago
investigations focused on spin dynamics, · Perform numerical simulations to study: - ultrafast magnetization phenomena, - interactions with surface acoustic waves, - propagation of sound waves in the presence of a
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FieldEngineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Desired profile Holding a Master of Science degree in Mechanics, the candidate has solid skills in numerical mechanics, numerical methods, and
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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