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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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of quantum theory. If you are interested in deepening our conceptual understanding of the intersection between quantum theory and space-time — using modern methodological approaches from quantum information
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, geo-visualization, research data management, geo-semantics, knowledge graphs, geographic information retrieval, and social sensing. You will collaborate closely with the University Library’s Research
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, mathematics or a closely related discipline (completed or about to be completed) • A strong background in mathematical statistics and probability theory • Outstanding dissertation • Promising potential
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departments and faculties at the University of Vienna, whose focus lies on theory and applications in the field of data science and machine learning. The Faculties of Mathematics and of Computer Science, which
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, scientific programmers, and other project personnel with a diverse set of backgrounds and with expertise spanning knowledge graphs, GeoAI, research data management, geo-semantics, geographic information
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prior exposure to modern developments in biomathematics and will also have a solid knowledge of mathematical analysis, partial differential equations as well as kinetic theory and will be able to take
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astrophysics, and uses 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
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the network architecture need to be to capture the solution accurately? In essence, we’re exploring the frontier between modern machine learning and classical mathematical theory—where neural networks meet some
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flows such as entropy dissipation. This is a chance to tackle cutting-edge mathematical and computational problems with real-world relevance, using modern approximation theory and machine learning