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an Innovate UK-funded KTP project (assessed at application) Desirable criteria Experience of working on high voltage power electronic systems (assessed at application/interview) Experience with finite element
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-reviewed journals and presenting at professional conferences. • Demonstrate proficiency in experimental methods, and numerical/computer modeling and analysis, including areas such as finite element
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assessment methods for steel components, experimental investigation of selected condition assessment methods, and evaluation of their suitability on obtained salvaged steel elements; Developing a computational
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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to improve the accuracy of discontinuous Galerkin (DG) finite element methods. Recent work by our collaborator at the University of Tennessee has shown that optimal placement of high-order nodes can
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the muscle architecture of the larva within the generative process. We recently extracted the muscles of the Drosophila larva body from a CT-scan recording. Furthermore, we developed a finite element
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modeling and simulation (e.g., finite element analysis, discrete event simulation). Experience with Infrastructure as Code tools (e.g., Terraform, Ansible). Experience with HPC clusters and workload
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, mechanical CAD, PCB design tools, and finite element electromagnetic analysis software. Experience creating engineering documents, reports, and technical publications, including drawings, procedures, and
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in computational mechanics and a strong background in solid mechanics and the finite element method. Candidates should have a demonstrated experience in teaching undergraduate and/or graduate courses
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techniques and associated tools (examples include, but are not limited to machine learning, density-functional-theory, materials informatics, finite-element modelling, phase-field modelling), and demonstrated