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-cycle fatigue. The research methods are based on both small-scale and full-scale experimental testing and on Finite Element Modelling. Are you motivated to take a step towards a doctorate and open
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operations, and/or ii) mechanical stresses, strains and load limits for a tubing undergoing large deformations. Computational methods, such as finite volume and/or finite element analysis will be used
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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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Finite Element Analysis. The candidate will work with a team of experienced researchers within the fields of concrete technology, structural design and computational mechanics. You will report to
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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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and experience with measurement techniques for monitoring turbulence, wind loading and structural response experience using computational tools such as Matlab, Python and finite element software
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required. Experience with finite-element method (FEM) and boundary-element method (BEM) is required. Experience with supervised machine learning in aeroelasticity is required. Programming skills, e.g
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. Structural analysis of concrete bridges including effects of ASR within an engineering approach utilizing Finite Element Analysis, where the ASR-expansion and the effects on the material properties
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Experience in non-linear finite element analysis and solid mechanics Experience in optical measurements related to experimental work Experience with 3D computer-aided design (CAD) software Experience with