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Field
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series, and Bayesian analysis. In applied mathematics, these include information theory, coding theory, control theory, fluid mechanics, and mathematical biology. Further details on the departmental
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probability theory or PDE theory to the level of a Master’s degree, and basic familiarity with both. Prior knowledge of specific subdisciplines for the examples listed in the description may be advantageous but
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competence in statistical theory and methods. Such competence can be documented by graduate-level coursework in probability and statistical inference, a statistics-focused Master’s thesis, or relevant
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apply approximation methods for interpolating electronic/phononic/thermodynamic properties of disordered crystal materials. Design and implement high-throughput density functional theory (DFT) workflows
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, Laboratory for Photonics and Quantum Optics, for work on the HRZZ MAPS 2024 project ‘Bridging Theory and Experiment: Advancing the Frontiers of Precision Neutrino Oscillation Physics,’ for a fixed term of two
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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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education in mathematics. The appointed fellow should have expertise in probability theory or PDE theory to the level of a Master’s degree, and basic familiarity with both. Prior knowledge of specific
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geophysical, and ideally glacial isostatic adjustment, theory and their implementation in model codes. In depth knowledge of glacial isostatic adjustment and relevant ice sheet, geological and geodetic datasets
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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