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to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal
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or experience in writing mathematical proofs Coursework or experience in discrete mathematics, graph theory, or combinatorics Knowledge of Python, Sage, or LaTeX A willingness to learn new mathematical and
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Statistics, Biostatistics, Computer Science, Data Science, Information Science, or a closely related field (completed by start date). Demonstrated research experience in statistical/mathematical foundations
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positions in Mathematics, Statistics, and Actuarial Science. Special consideration given to the areas of Data Science, Financial Mathematics, Actuarial Science, Graph Theory and Combinatorics, Applied
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About the scholarship Application status: No application required Applicable study: Woman student in Mathematics Education or Discrete Mathematics (Including Graph Theory) Opening date: Closing date
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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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Zerbib. This includes graph theory, discrete geometry, topological combinatorics, extremal combinatorics, and flag algebras. The position has a 2-1 teaching load and a requirement to be involved with
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has a strong PhD program in Applied Mathematics, Applied Statistics, Graph Theory/Combinatorics, and Analysis, featuring active research collaborations both within the University and with external
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. Current departmental research interests are diverse and include actuarial science, differential equations and their applications, graph theory, set theory, real analysis, and statistical analysis
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27 Feb 2026 Job Information Organisation/Company Université du Littoral Côte d'Opale Research Field Mathematics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage