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between theoretical modelling, numerical development and the analysis of physical phenomena. In particular, they will be involved in designing models suited to the systems under study, their numerical
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issues, the analysis of the developed numerical methods, and the study of their properties. The doctoral student will be invited to regularly present their research work at biweekly group meetings
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analyze deformation and failure mechanisms. - Develop and use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and
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Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 7 days ago
://www.academictransfer.com/en/jobs/364266/phd-position-numerical-analysis… Requirements Additional Information Website for additional job details https://www.academictransfer.com/364266/ Work Location(s
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Centrum Wiskunde en Informatica (CWI) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
mathematical analysis of the PDEs and the resulting inverse problems, as well as the development of numerical methods that can eventually be applied to large-scale wave-imaging problems. The PhD project
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University of Amsterdam (UvA) | Amsterdam, Provincie Noord-Holland | Netherlands | about 1 month ago
addresses dynamics of both real and complex dynamical systems in low dimensions. The research in the Numerical Analysis and Applied Analysis group addresses numerical solution … Where to apply Website https
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
: Micromechanical experimental analysis of particle generation in silicon wafer handling [VDL; Johan Hoefnagels] Where to apply Website https://www.academictransfer.com/en/jobs/363316/11-phd-positions-in-the
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this is stochastic models in infinite dimensional spaces, applications in shape analysis, and numerical implementations of the developed models. The postdoc project will span between these areas with a
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, numerical method, and data-driven/machine-learning approaches, including: · Numerical simulation of kinetic equations: fast algorithms with stability/convergence analysis; · Data-driven and machine
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will develop and validate advanced numerical models of energy micropiles, undertake large-scale simulations and data-driven analysis to explore performance and optimise designs, assess the impact of