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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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of materials mechanics, e.g., plasticity, porous plasticity, crystal plasticity and damage mechanics. Knowledge of micromechanical modelling. Knowledge of non-linear finite element methods. Knowledge of FFT
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modelling material, process, or product behaviour (such as using analytical, finite element (FE) analysis, thermodynamic, and data-driven modelling approaches) Experience in working with industrial partners
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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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would be given additional credit in evaluation Experience in using Finite Element Codes such as ABAQUS, ANSYS, etc. for numerical analysis Ability to conduct high quality research and publish results in
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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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. 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