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Strong background in biomechanics, biomedical engineering, computational mechanics, or equivalent fields. Strong foundation in numerical methods, especially the finite element method. Proficient in python
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designing, maintaining, and troubleshooting high-power electronics and magnetics, using standard lab test equipment. Proficiency in circuit simulation, mechanical CAD, PCB design tools, and finite element
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for admission to a PhD programme. Strong background in Computational Mechanics, Solid Mechanics and Numerical Methods. Knowledge of the Finite Element Method. Programming skills (Python & Fortran). Good written
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/computational modelling methods (e.g. discrete element method or finite element analysis) Strong programming skills Good written and verbal communication skills in English Considered an advantage: Experience with
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journal publications. Demonstrated experience in user element (UEL) development for interfacing with commercial finite element code ABAQUS for fatigue evaluation of spot welds, seam welds, and mechanically
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Institut FEMTO-ST, Université Marie et Louis Pasteur | Ons en Bray, Picardie | France | about 2 months ago
skills (Finite element method, Python, Matlab or Labview programming); Experience with wave physics (optional) Experience with clean-room, laser- or micro-fabrication (optional) Personal skills
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modelling activity. Demonstrated expertise in finite-element methods or related numerical techniques. Experience in code development, HPC architectures, and parallel programming is highly desirable
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 1 month ago
. Basic knowledge of the mechanical behaviour of composite materials. Experience with the finite element method for structural analysis. Experience in the characterisation and modelling of composite
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languages; solid background in aerospace structures, structural mechanics and in numerical methods for structural analysis; study, research, or thesis experience in finite element modeling (FEM), thermo
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structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations