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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 3 days ago
: the even bicolor Wang tilesets. Preprint, 2025 [3] Hoyrup. Local generation of languages. Preprint, 2026. [4] Hoyrup. When a graph generates its own colorings. Preprint, 2026. Where to apply Website https
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
scalability testing Comfort moving between theoretical foundations (graph theory, language theory, database theory) and practical systems engineering Capacity to work both independently and collaboratively
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calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting
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into insight). To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework
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University of Darmstadt seeks candidates at the earliest possible date for two Professorships for Algorithmic Graph Theory and Logic. The positions are limited to a period of six years and come without
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theory, Extremal Graph Theory, Combinatorial Optimization, Matroid Theory, and Algorithms. This appointment is for about two years, and the starting salary is no less than KRW 66,000,000. The appointment
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of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs, permutations, posets or set systems using probabilistic, structural and
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. During the PhD, you will work on topics at the intersection of probabilistic and extremal combinatorics, structural graph theory and algorithms. We study problems on discrete structures such as graphs
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intended for a senior researcher with a highly specialized interdisciplinary profile at the interface of graph theory, combinatorics, exact graph algorithms, molecular graph analysis, cheminformatics, and
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follow specialized training programs (e.g. ARENA). Specific Requirements Knowledge: Linear algebra, probability and statistics. Graph theory and algorithms on graphs. Machine learning and deep learning