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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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on Graphs: Symmetry Meets Structure (LOGSMS). The field of Machine Learning on Graphs aims to extract knowledge from graph-structured and network data through powerful machine learning models. Designing
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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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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39148 Job Number SE179524 Position Information Department or Unit Name Chemistry Position
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Technologies for the Social Sciences (KTS), Team Information Extraction & Linking located in Cologne, is looking for a Research AssociateKnowledge Graphs (Salary group 13 TV-L, working time up to 100 %, limited
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; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
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some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in
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License: No If yes, what is the preferred licensure/certification?: Preferred Computer Applications: Preferred Other Computer Applications: Graphing software Preferred Additional Knowledge, Skills and
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developing knowledge-graph or information retrieval systems. Funding & Appointment Terms The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650
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databases and financial tracking systems Prepare visual materials (charts, graphs, tables) for presentations using existing data Provide administrative support for quarterly reporting cycles Expected Salary