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provably powerful learning models for graphs will require new mathematical machinery. LOGSMS will combine diverse tools from discrete mathematics, learning theory and machine learning, thus facilitating
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Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis Mike Hochman Dynamical systems
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English. A strong background in graph theory and graph algorithms is necessary. For PhD position 1, we appreciate prior mathematical exposure to at least one of the following topics: random graphs
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outstanding research potential in all fields of Discrete Mathematics with emphasis on Structural Graph theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment
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times of Markov chains, random graphs and trees, random matrix theory, stochastic and Lévy processes in infinite-dimensional spaces, free probability, random sphere packings in high dimensions. About the
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-doctoral associate to work on one or more of the following topics: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be
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theory and probabilistic methods, and it hopes to clarify how these two settings, hypergraphs and posets, connect through their shared saturation questions. Combinatorics and mathematics in Umeå
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for up to 24 months. Successful applicants should be in post by September 2026. About you Applicants will need a PhD degree in Mathematics or similar subject, and knowledge of probability theory, as
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May 31, 2028. This opening is in discrete mathematics, aligning with the research interests of Prof. Bernard Lidický and Prof. Shira Zerbib. This includes graph theory, discrete geometry, topological
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successful applicants will take part in the research and teaching activities at the Chair of Algorithmic and Structural Graph Theory within the Institute of Theoretical Computer Science at TUD. The main