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-field deformation data using three-dimensional digital image correlation (DIC). On the numerical side, this involves building automated finite element and inverse-identification workflows that learn
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consistent models and their integration into numerical simulation tools coupled with boundary value problem solvers (e.g. finite element-based frameworks). A significant part of the work will focus
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-domain (FDTD) or finite-element methods Ability to independently plan experiments, analyze data, and communicate results in peer-reviewed publications Preferred Hands-on experience with cleanroom
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-Particle Finite Element Method (MPFEM), each fiber being represented as a deformable finite-element body, interacting with its neighbours through contact/cohesive-zone laws at the fiber-fiber bonds
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: Excellent scientific independence combined with a strong ability to collaborate with field-based glaciologists and seismologists. • FEM Tools: Strong skills in the finite element method. Practical
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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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electronics Modeling with finite-element analysis software and acoustic simulation software Establishing design criteria in collaboration with end-users Optimizing performance to meet end-users’ requirements
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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
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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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modelling activity. Demonstrated expertise in finite-element methods or related numerical techniques. Experience in code development, HPC architectures, and parallel programming is highly desirable