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a variety of approaches, such as stochastic processes, kinetic theory, variational analysis, finite element methods, and data-driven techniques. The Vienna School of Mathematics doctoral program
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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, probability theory, statistics and mathematical finance and an open mind for applications. Excellent command of written and spoken English. Programming skills (e.g. Python, R). Ability to work in teams and high
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods
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Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF
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on the statistical mechanics of equilibrium and non-equilibrium processes. Members of the group contribute to the teaching at the Faculty of Physics at all levels from the Bachelor to the Doctoral program. The
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to the Collective Bargaining Agreement for University Staff (level A2) and an organisational retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training
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retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions held to date career breaks (e.g. relevant parental
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retirement plan Application documents (in English): Letter of motivation Academic curriculum vitae education and training (PhD Certificate, PDF) positions held to date career breaks (e.g. relevant parental
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program offers excellent conditions for doctoral training at the highest level in all areas of mathematics and promotes interdisciplinary and intradisciplinary cooperation. https://mathematik.univie.ac.at