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architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and
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& Cryptography, Graph Theory & Combinatorics, Statistics, Artificial Intelligence, Computational & Applied Mathematics, Dynamical Systems & Mathematical Biology. It hosts the Key Laboratory of Nonlinear Analysis
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expertise: A PhD in Computer Science or a closely related field, with specialization in Quantum computing and Graph theory In this role, you will be responsible for conducting research on graph theoretic
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and Sobolev-type spaces (with Hytönen and/or Korte), Conformal deformations of metric measure spaces and/or general regularity and convergence for graph-based machine learning using stochastic game
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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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-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2026/phd-position-in-hierarchical-graph-n… Requirements Research FieldComputer scienceYears
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discipline; A candidate with experience in computer programming and data management will be given preference; Experience with graph theory and graphic libraries such as Gephi or NetworkX.; Experience with
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; Experience with machine learning techniques and models such as classifiers, transformers, clustering, etc.; Experience with graph theory and graphic libraries such as Gephi or NetworkX; Familiar with UNIX
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. FeelGoodAI will be applied to the field of education, where learner mental health and well-being are major concerns. Multiple perspectives and constructs related to well-being underpin several theories from