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theory. The researcher will work in the G-SCOP laboratory, in the "Combinatorial Optimization" team, on geometric aspects of graph theory, in particular the links between structure and metric, and the
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Shai Evra Graph theory, representation theory, number theory Adi Glucksam Complex analysis, potential theory, and dynamics Or Hershkovits Geometric analysis Mike Hochman Dynamical systems
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Participate in seminars, workshops, and conferences related to combinatorics and graph theory The successful candidate will hold a PhD in Mathematics or a closely related discipline, with a strong background in
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 25 days ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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in the following areas: Deep Learning, Scientific Machine Learning, Stochastjc Gradiant Descent Method, and Numerical PDE’s - Advised by Dr. Yanzhao Cao Probabilistic Graph Theory (Network Traversal
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and statistical mechanics. The main research areas include strongly correlated systems such as the Abelian sandpile; random interfaces such as the Gaussian free field; stochastic processes on graphs
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 3 hours ago
No. 2083, id.2294) and a research team at the University of Glasgow led by Leroy Cronin that utilizes graph theory to explore molecular complexity (Philosophical Transactions of the Royal Society A
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May 31, 2028. This opening is in discrete mathematics, aligning with the research interests of Prof. Bernard Lidický and Prof. Shira Zerbib. This includes graph theory, discrete geometry, topological
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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