Join the Münch Lab at University of Giessen to study how neural circuits turn sensory input into behavior. We use Drosophila, combining imaging, neurogenetics, and behavior!

The intersection of graph AI and biology is revolutionizing how we understand complex systems—from cellular networks to disease mechanisms. This 2-day event funded by the DDSA - Danish Data Science Academy brings together researchers, students, and professionals to explore cutting-edge graph-based methods in biology, fostering collaboration and innovation.

Join the Tsingos group external link to model how subcellular protein interactions regulate organ-scale morphology in animal development.

CNRS tenure track on "Dynamics and collective decisions" at the interface between statistical physics and social sciences. One of the potential hosting laboratories is the Centre de Physique Théorique in Marseille.

This session at the Conference of Complex Systems in Siena, Italy, invites contributions that apply complexity science frameworks to understand and transform food systems.

The School of Natural and Environmental Sciences at Newcastle University, UK are delighted to be hosting the VII Symposium on Ecological Networks.

Researchers and students from various fields in biophysics, statistical physics, and non-linear dynamics, will come together to share their research and exchange ideas, as well as to honor Prof. Erwin Frey's contributions to these fields, and celebrate his 65th birthday.

We are very excited for the 9th iteration of the DeepMath conference. DeepMath is the conference on mathematical theory of Deep Neural Networks bringing researchers from all theoretical and quantitative fields. Submission opens on July 1st, 2025.

Hokkaido University (Japan) September 30 – October 4, 2025.

The Hjerling-Leffler lab aims at understanding how adolescent development of the nervous system, on a cell type-specific level, influences the etiology of psychiatric disorders. We work with several different approaches including analysis of postmortem samples and mouse models of genetic risk to understand biological convergence. We also combine transcriptomic data with large scale human genetics to investigate the cellular consequences of polygenic heritability in Schizophrenia (SCZ).