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Tulane University Office of Human Resources Description for Job: IRC32798 TUII Postdoc Fellow Tualne University Innovation Institute Location: New Orleans, LA Summary The Tulane University
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component in the transformation of the energy sector and the decarbonization of emission-intensive sectors. Within the framework of the German and the European hydrogen strategies, we intend to recruit and
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The Oxford-Hyundai Motor Group Foresight Centre is a major research centre located within the University of Oxford’s Saïd Business School. Funded through a generous research sponsorship from Hyundai Motor Group, the Centre is led by Oxford strategy faculty Rafael Ramirez (Director) and Trudi...
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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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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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structure for integration into cardiac catheters. Conduct finite element analysis (FEA) to simulate force/strain responses under clinical conditions. Assist in the setup and execution of in-vitro and in-vivo
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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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of the experimental models and the test setup for Task 2, including preliminary numerical modeling of the experimental models using a Finite Element Method-based software. Task 2: Execution of shake table tests with
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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