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2023.04.11. - 2023.04.11.
Rényi Institute
The next Kutszem will be on Tuesday instead of on Monday by Júlia Komjáthy: Cluster-size decay in spatial random graphs.
2023.02.20. - 2023.02.20.
Rényi Institute
The next Kutszem will be a double header. The first talk by Simon Schwarz is at 2.15pm (at Kutyas!) and the second by Anja Sturm is at the usual 4.15pm at the Main Lecture Hall.
2023.02.06. - 2023.02.08.
Main Lecture Hall, Rényi Institute
Several postdoc positions are available in Budapest in various research groups in discrete mathematics and probability theory. Postdoc positions are available to join the DYNASNET team, as well.
2022.10.17. - 2022.10.21.
Lednice, Czech Republic
This is an all DYNASNET meeting where each site and each group present some of their achievements.  Place: Lednice (Czech Republic) Time: October 17-21, 2022
2022.06.06. - 2022.06.10.
Erdős Center, Rényi Institute
The School focuses on discrete structures and their limits. This is an active area of research that connects discrete mathematics with ergodic theory, stochastic processes, spectral theory, measured group theory and various branches of analysis and topology. There will be six minicourses given by distinguished researchers of the field.
2022.05.30. - 2022.06.03.
Erdős Center, Rényi Institute
The Mathematics of Large Networks summer school aims to bring together mathematicians and network scientists to foster the exchange of ideas between these two fields. During the school four minicourses will be given by distinguished researchers in graph theory and network science for students from both fields, who are interested in multidisciplinary approaches to networks.
2022.05.09. - 2022.05.13.
Erdős Center, Rényi Institute
The idea of the Mathematics of Large Networks Workshop is to bring together mathematicians and network scientists with the aim of fostering the exchange of ideas. The speakers and the audience will also consist of researchers coming from these two communities. The main themes of the Workshop include geometry of networks, dynamics of/on networks, higher order structures, network inference and applications.