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Field
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, finite element analysis, programming and numerical methods. Applicants are expected to have achieved a First class (or, in special cases, an upper-class, 2:1) honours MEng/MSc degree or equivalent in
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Structural Design, e.g. robust design under uncertainty and reliability analysis of full-scale wind systems, complementing established project activities in: multi-scale finite-element modelling
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comparable subject Advanced programming competence in Python is required and basic competence in Fortran is advantageous Basic Experience in FEM (Finite Element Method) simulation tools e.g., ABAQUS or ANSYS
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fibre kinking models and incorporating Artificial Intelligence into the numerical Finite Element framework. What we are looking for: Experience in failure modelling of fibre-reinforced composites using
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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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to support computations on GPU hardware with various types of Finite Element methods. This work is embedded in a research project considering structure preserving Finite Element methods for multiphase flows
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throughout the Schools portfolio. Power Electronics / Power Engineering Embedded Systems /FPGA design/ Programming (C) Robotics and Automation Control Systems Finite Element Analysis Civil Engineering
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, or materials engineering; knowledge in phase transformations, numerical methods, and finite element analysis is an advantage Excellent communication and organizational skills; proficiency in English (written and
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. Candidates are expected to have a strong background in at least one of the following areas: numerical analysis and/or simulation methods for PDEs (in particular finite volume or finite element methods
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of finite element analysis and materials modelling Applicants with a good 2.1 degree are also encouraged to apply if they can demonstrate an excellent background in mechanics and/or modelling. Application