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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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methods), Gaussian Random Fields, mathematical foundations of deep learning, functional analysis and measure theory. Research competence & initiative demonstrated through international publications in peer
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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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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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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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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