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of fracture and high-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
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work hardening/crystal plasticity, to account also for transient conditions. The improved models should then be used as sub-models in finite-element simulation software to simulate the thermomechanical
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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
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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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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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. 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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innovative computational approaches, leveraging finite element simulations, AI, and clinical data, to better understand the mechanisms of MR. This aims to improve patient risk stratification and treatment
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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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of the polymer insulation using finite element or equivalent methods. The two PhD candidates will work in close cooperation, but on separate aspects of this: PhD #1 Material characterisation of aged HVDC cable
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of brain microstructure, which can be applied in improved diagnostics using medical imaging. Qualifications and personal qualities Applicants must hold a master's degree or equivalent education in Chemistry