A panoramic view of the evolution of life on our planet, from its origins to humanity's future.

The Computational Science Lab (CSL) at the Informatics Institute at UvA, is seeking a motivated PhD candidate to join our team focusing on modeling memory formation in ecological systems. The successful candidate will be responsible for constructing, simulating, and validating computational models of empirical data based on ecological theory.

Princeton seeks an AI expert with interests in natural and artificial minds.

The Dutch Network Science Society is an official chapter of the International Network Science Society (NetSci), aiming to consolidate, promote and support network science research in the Netherlands.

The Digital Methods Winter School is part of the Digital Methods Initiative (DMI), Amsterdam, dedicated to developing techniques for Internet-related research and to the study of the natively digital. The Digital Methods Initiative also holds the annual Digital Methods Summer Schools, which are intensive and full-time undertakings in July.

The Spanish Complex Systems Society (CS3) is an organization that encompasses the Spanish Chapter of the Complex Systems Society.

By attending the Conference on Complex Systems twice in a row, I can now better contrast how the world of complex systems has evolved in the last year.

Brain Criticality Conference - Nov. 6 – 8th, 2024 - National Institute of Health, Bethesda, MD, USA

The Winter Workshop on Complex Systems is a one-week workshop where young researchers worldwide come together to work on interdisciplinary projects around complex systems.

The Department of Mathematics at Dartmouth College invites applications for a postdoctoral appointment that can start as early as December 1, 2024. This appointment will be under the direction of Professor Peter Mucha, with potential funding through grants from the ARL, NIDDK and NSF on different applications of network science in interdisciplinary collaborations for modeling within-person dynamics of cognitive processes, modeling disease transmission at the human/animal interface, and metabolomic data analysis. Specific areas of research interest include community detection, higher-order interactions, link prediction, statistical analysis of time series from dynamical processes, and other areas of scientific machine learning.