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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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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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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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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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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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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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desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory, concentration inequalities, statistical optimality theory, sequential inference, computational
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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research interests encompass a broad range of topics, including discrete mathematics, finite model theory, and the complexity of logical systems, as well as the foundations of AI, explainability, and answer
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expertise in computational methods. Documented experience with R or Python programming is also very desirable. Experience in one or more of the following is an advantage: finite-sample statistical theory