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-class collaborators. Profile We expect from you: Recently obtained master degree in engineering or physics with outstanding grades Excellent knowledge of continuum mechanics and finite element analysis
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of building and structural concepts through the development of AI-enhanced Finite Element Method (FEM) tools. It includes implementing FEM-based systems capable of proposing innovative structural forms
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the gap between numerical simulations and clinical practice. The candidate will work alongside experts in solid mechanics, finite element analysis, and machine learning and cardiology, benefiting from
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, biomedical engineering, or a related field. • Strong background in musculoskeletal modeling and finite element analysis (preferred). • Proven experience in presenting research at international cferences
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combination of experimental testing and computational modelling (Finite Element Analysis) to create solutions that accelerate the safe deployment of hydrogen aviation technologies. This position is part of
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efficiently work in a highly multidisciplinary team. You have a strong background in linear and tensor algebra, non-linear mechanics, advanced finite element analysis, computational solid mechanics
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and timeframe Different methods will be used to address the Objectives given above. Objective 1: GIS analysis of historic maps and aerial imagery Potentially capture of new UAV imagery Objective 2
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finite element simulations, e.g., Opera, ROXIE, and/or COMSOL. Experience with superconducting magnets and/or cryogenic distribution systems and components Experience working independently and interacting
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, ordinary differential equations, equations with partial derivatives and finite difference schemes, according to the specifics of the problem; 2. Consider the effects of human behaviour during outbreaks
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image correlation (DIC) datasets with fully three-dimensional finite element analysis (FEA) results in mechanical test setups on metals and polymers including uni-axial and bi-axial loading at different