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theory of the finite element method is an advantage. Competence in the theory of numerical optimization is an advantage. Experience from high-performance computing is an advantage. Applicants must be able
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that the master's degree has been awarded. Programming skills, e.g., Fortran or C++, is a requirement. Competence in the theory of the finite element method is an advantage. Competence in the theory
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Fellow are Developing 2D and 3D integral equation / boundary element method-based codes. Accelerating these codes with matrix/tensor decomposition-based and fast Fourier transform-based schemes. Developing
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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
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component will explore the experiences of individuals with Parkinson’s disease participating in a trial investigating the use of Functional Electrical Stimulation (FES) to improve mobility. The findings from
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) To carry out analyses, critical evaluations, and interpretations using methodologies and other techniques appropriate to the area of research Contribute to developing new models, techniques and methods
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Fellow (SKO 1352) with specialisation in public policy and administration, comparative politics or international relations. The successful applicant will work with the political science component of
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, installed at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and
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policy and administration, comparative politics or international relations. The successful applicant will work with the political science component of the interdisciplinary research project “Renewable
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at the university campus in Stavanger. The core element of this PhD project is to use physics-based and data-driven modeling approaches for developing accurate models for real-time optimization and control