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to the proposed profile (0-60 points): Experience in 3D multiphysics finite element modelling. Experience in image processing. Experience in mesh morphing for personalized medicine. Experience in data analysis and
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are seeking two motivated researchers or engineers with expertise in finite element programming to join an ambitious project modelling the complete neuromuscular dynamics of Drosophila larvae. This position
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Adjunct Assistant Professor Mechanical Engineering and Materials Science - Pennsylvania-Pittsburgh - (25005247) We are seeking an Adjunct Assistant Professor to co-teach Finite Element Modeling
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monolithically integrated on the same silicon chip. The planned work consists of three main phases: 1) Finite element physical simulations to define the best GaN HEMT structure likely to exhibit the desired
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Mechanical Engineering Technology Program with Engineering Design (Fusion 360), CAD/CAE (Solid Works), Engineering Computing (Matlab), Finite Element Analysis (Solid Works) skills preferred. A strong
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materials. The primary focus of this work is on mechanical characterization, microstructural analysis, and finite element analysis (FEA) and artificial intelligence (AI)/machine learning (ML) modeling
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of brain health. Specifically, our approach combines finite element modelling and medical image analysis. Our finite element brain models are based on tissue segmentation and our numerical simulations
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forming composite fibres into 3D-shaped component parts. High quality numerical analysis is a crucial part of the process of understanding and predicting high quality manufacture of composite structures
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speeds far beyond those of traditional finite element (FE) methods. The key innovation lies in directly modelling discontinuity lines, such as cracks, rather than relying on iterative mesh refinements
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simulation software developed "in house" known as Fluctuating Finite Element Analysis (FFEA), and you will learn how to improve this software so that we can watch a molecule walk. Funding Notes The position