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Field
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probability, allow for the application of tools from probability theory to combinatorial problems and motivate the study of the typical properties of various combinatorial models, such as the Erdős–Rényi random
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understanding of routing algorithms (e.g., Dijkstra, A*) and graph theory, Preferably knowledgeable in the Arc Routing Problem, Vehicle Routing Problem, Rural Postman Problem, Travelling Salesman Problem, etc
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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on Topological methods in Discrete Mathematics and conduct research related to problems in Combinatorics, Graph theory and aspects of the Constraint Satisfaction Problem (CSP) with emphasis on topological methods
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work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind rehabilitation. Of 101 graduate offerings available, 30 lead to a doctoral degree. Connections
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Matter Physics o Physical Chemistry and Theoretical Chemistry o Combinatorics, Algorithm, Extremal Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and
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Group (ECOPRO) Fellowship Type: Postdoctoral Fellowship Location: Daejeon, Daejeon 34126, Korea, The Republic of [map ] Subject Areas: Extremal and Probabilistic Combinatorics, Graph Theory, discrete
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Graph Theory, Computing Theory o Programming Language, AI Theory or Machine Learning o Classical and Quantum Algorithm for Computational Quantum Many-body Theory o Theory and Computation of Correlated
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Type: Postdoctoral Fellowship Location: Daejeon, Daejeon 34126, Korea, The Republic of [map ] Subject Areas: Discrete Math, Structural Graph Theory, Extremal Graph Theory, Matroid Theory, Combinatorics
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are, for instance, active in the fields of incidence geometry, abstract polytopes, discrete optimization, graph theory, convex polytopes, non-commutative algebra, (non-commutative) algebraic geometry, homological