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University of Vienna, Faculty of Mathematics Position ID: Mathematics -TT_DIDACTICSOFMATHEMATICS [#26771, 4426] Position Title: Position Type: Tenured/Tenure-track faculty Position Location: Vienna
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of Mathematics and the Centre for Teacher Education at the University of Vienna invite applications for a Tenure-Track Professorship in Didactics of Mathematics The position We are looking for candidates with
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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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, 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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interest in Applied Mathematics, possesses solid and profound background knowledge in Numerical Analysis, Approximation Theory and Machine Learning, can easily integrate into our team, independently
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working in the research group “Theory and Applications of Algorithms” at the Faculty of Computer Science. The position is limited to six months and is planned to be filled from 01.10.2025. Your future tasks
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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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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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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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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