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including: * Algorithmic game theory * Approximation algorithms * Automata and formal languages * Combinatorics and graph algorithms * Computational complexity * Logic and games * Online and dynamic
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department is available at: https://www.umu.se/en/department-of-computing-science/ Project description Graph transformation is a well-established theory that studies computational methods to transform graphs
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resolution cell imaging · Multiplex molecular imaging · Graph theory on molecular networks · Biomedical Natural Language Processing · Generative AI for drug design and protein
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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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use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and
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the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind
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are enrolled in graduate course 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
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the doctoral level. More than 20 percent of its 25,000 students are enrolled in graduate course work, studying in disciplines ranging from atomic physics and graph theory to medieval literature and blind
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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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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