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to the success of the project. Furthermore, the role will give you the opportunity to use your experience in formulating problems using the finite element method in solid and fluid mechanics, to validate
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and diplomas issued abroad, please see Degree equivalency Experience Proven experience in multi-element alloy (MEA) computational design using AI/ML approaches, and related finite element modelling
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structures, including the use of finite element modelling and simulation tools. Experience with data-driven design optimization would be an asset; Direct hands-on experience in advanced composite manufacturing
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authoritative practical knowledge and experience in acoustics and/or vibration, supported by detailed understanding. Basic understanding and knowledge of numerical modelling using the Finite Element Method
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Norwegian). Desired qualifications Good experience/knowledge in electrical machines, synchronous generators, applied signal processing, applied mathematics, and finite element analysis. Programming experience
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knowledge of numerical modelling using the Finite Element Method/Boundary Element Method. Excellent communication and teamwork skills. Informal enquiries can be made to Dr Felix Langfeldt: F.Langfeldt
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mathematics, and finite element analysis. Programming experience in coding e.g. Python, or MATLAB Writing skills for research papers. Experience in applied machine learning, fault diagnosis, laboratory testing
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Research Assistant, applicants should have an honours degree or an equivalent qualification. For all posts, preference will be given to those with experience in finite element simulations and high
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to the project Preferred Qualifications: Experience with finite element methods, molecular biology techniques, or xenograft mouse tumor models Experience in 3D cell culture, traction force microscopy
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Mechanical, Biomedical, or Electrical Engineering, or a related field. Demonstrated experience with sensor design and finite element modeling (e.g., ANSYS, COMSOL). Familiarity with fiber optic sensing