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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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on an individual basis. Candidates must demonstrate solid knowledge of relevant social science theories and methods necessary to carry out the proposed PhD project. Admission to the faculty’s PhD programme is a
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, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data science, computational mathematics
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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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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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. The Department is engaged in teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented
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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, concentration inequalities, statistical optimality
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theory of risk and modernity Posthumanism and relational approaches to nature and technology The social construction of environmental problems The candidate is encouraged to critically examine how
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Small Towns PhD Research Fellow in Social Science (1-2 positions) Apply for this job See advertisement This is Nord University Do you want to help create knowledge that makes a difference? At Nord
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ability to contribute to more than one work package, this is counted as a positive. ● Area1 - Lie Theory: Analysis and Geometry of Nonholonomic Systems Areas of Research: Sub-Riemannian geometry and Cartan