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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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-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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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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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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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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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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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