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sensing, advanced mathematical methods for the analysis of extremes, and AI. The research will also determine the nature of statistical distribution of set-up heights and examine co-occurrence of high
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SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to markus.schmidtchen at tu-dresden.de or to: TU Dresden, Junior Professorship in Applied Mathematics, Jun.-Prof. Dr
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their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite processes in mathematical finance. Traditional financial models often rely
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their stochastic and statistical analysis and to propose some non-Gaussian stochastic models, based on (generalized) Hermite processes in mathematical finance. Traditional financial models often rely
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A master’s degree in mathematics, applied mathematics, optimization, statistics, machine learning, or a closely related field, with a solid background in analysis, differential equations, and/or
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Developing novel tools for the analysis of local order using total scattering data (TScat) EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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Algebraic Geometry, Geometric Analysis, and Mathematical Physics to Number Theory, Probability & Financial Mathematics, and Topology, reflecting the department?s deep commitment to both foundational theory
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. The department has three scientific divisions: Algebra and Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics and conducts successful research in pure and applied mathematics and
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StreetPiata Romana no 6Geofield Contact City Bucharest Website https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhancing-mathematical-tools-and-financial-models-for-capturing-complex-market
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processes : Enhancing mathematical tools and financial models for capturing complex market dynamics - presentation The proposal concerns a particular class of self-similar stochastic processes, the so-called