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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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25 Sep 2025 Job Information Organisation/Company Johannes Kepler University Department Institute of Stochastics Research Field Mathematics » Other Researcher Profile Leading Researcher (R4
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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
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with graph learning, in particular using graph neural networks (evidenced by publications in top-tier journals or conference proceedings). Excellent and up-to-date knowledge of typical machine learning
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24 Sep 2025 Job Information Organisation/Company Johannes Kepler University Department Department of Data Acquisition and Data Quality Research Field Mathematics » Statistics Other Researcher
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consultation with the archives, coordinate external teaching, and conduct innovative research in the field of archival studies. They will have extensive knowledge of the theory and practice of archival science
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consultation with the archives, coordinate external teaching, and conduct innovative research in the field of archival studies. They will have extensive knowledge of the theory and practice of archival science
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Good English skills Personal Qualities Interest in interdisciplinary and transdisciplinary work in theory and practice Interest in organizational tasks Communicative, team-oriented, and reliable
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group “Foundations of Cryptography” within the research group “Theory and Applications of Algorithms” at the department of Computer Science focuses on provable security of cryptographic schemes. We