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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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measurements, and load measurements. Proficiency in computational methods, such as finite element analysis (FEA) and computational fluid dynamics (CFD). Experience with data acquisition and analysis using
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treatments, and exposure to gaseous impurities. Using both experimental testing and finite element modelling, you’ll help develop practical guidelines to mitigate hydrogen embrittlement and enable safer, more
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background in computational methods, including finite element analysis and other advanced modelling techniques, would be advantageous. The successful candidate will be expected to deliver research-informed
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arising from solid/fluid dynamics/geomechanics, and numerical methods for partial differential equations, especially finite difference methods and finite element methods, both theory and applications. A
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programming skills and finite element (FE) analysis experience is a requirement. Knowledge of machine learning, Matlab and Abaqus is also highly desired. Previous experience with parametrization and automation
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information. • Ability to apply finite element packages, (ex. ANSYS, Magnet, JMAG) to the design and analysis of different type of electrical machines. • Ability to assess and organise resource
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other areas to be determined. Serve as Principal Investigator (PI) or Co-Principal Investigator (Co-PI) on research studies. Perform non-linear, dynamic, finite element analysis (FEA) and design for
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a great potential for ultra-high-speed wireless communication, with data rates far surpassing those of current 5G systems. We are currently hiring a post-doc with expertise in finite-element
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, Python, Julia, or MATLAB Knowledge in numerical methods and simulation, particularly for partial differential equations and finite element methods Basic understanding of mathematical modeling with and/or