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steel or aluminium structures Welding, fabrication, or construction automation Experimental structural testing and instrumentation Numerical modelling and simulation AI/data-driven methods for engineering
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the load transfer length, bonded length, loading level, and integrity defects currently constitutes both a scientific and operational challenge. There are standardised pull-out assessment methods
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colloidal structures (aggregates, coacervates, soluble complexes, gels, etc.)1,2 depending on numerous parameters such as the chemical nature, molecular weight of the species involved, their relative
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complexes (OCCs). This will be achieved through micro-scale analyses (this vaccancy) of drill-core samples collected from the Atlantis Massif OCC during IODP Expedition 399 (Lang et al. 2025; https://doi.org
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Lehrstuhl für Angewandte und Computergestützte Mathematik | Aachen, Nordrhein Westfalen | Germany | 8 days ago
engineering, or simulation sciences A solid background in numerical methods for PDEs is required Basic knowledge of fluid mechanics or statistical mechanics is necessary Good programming and scripting skills
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qualitative and quantitative analysis methods - Fluency in written English (and, if possible, spoken English) - Strong adaptability and ability to work in a team Website for additional job details https
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identification, optimization, or numerical methods is valuable, as is knowledge of data analysis and machine learning for complex, high-dimensional systems. Programming experience in MATLAB or Python, and an
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 8 days ago
/Qualifications Nonlinear computational mechanics, finite element methods, numerical methods for partial differential equations, weak form, computational contact mechanics. Knowledge of differential geometry, beam
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
, Mechanical Engineering, or a closely related field Demonstrated experience in DNS or LES of complex flows Strong background in CFD, turbulence, and numerical methods Proficiency in Python for simulation setup