Clusters of Excellence
The search provides information on the Clusters of Excellence. By clicking on "Select filters" you can search for specific federal states, research areas and funding lines.
The vision of the Cluster is to establish scalable digital three-dimensional (3D) Additive Manufacturing reaching all the way from the molecular, via the nanometer and micrometer, to the macroscopic scale. This vision is nothing less than the ultimate digitization of 3D manufacturing and material processing.
Signalling reactions occur over a wide range of spatiotemporal scales – from molecules to organs and from microseconds to lifetimes. The immediate challenge, which will be addressed by CIBSS, is to understand how living systems accomplish integration of multiple signals across spatiotemporal scales in order to elicit cellular decisions and achieve multicellular organisation.
CMFI elucidates mechanisms governing competition and fitness of beneficial or harmful bacteria as the basis for developing new multi-level interventions against ARBPs and other pathogens.
At the Centre for the Advanced Study of Collective Behaviour, we aim to create a global hotspot for the integrated study of collective behaviour across a wide range of species and across scales of organization.
The Cluster of Excellence 2180 "Image-guided and Functionally Instructed Tumor Therapies" (iFIT) is the only oncology cluster of excellence in Germany. Since 2019, internationally renowned scientists and talented young researchers have been working together in this consortium in a globally unique collaboration of three different research areas to develop new, individualized cancer therapies.
The Cluster "Integrative Computational Design and Construction for Architecture" aims to lay the methodological foundations to profoundly modernise the design and building process and related building systems by adopting a systematic, holistic and integrative computational approach.
The vision of the livMatS-Cluster is to merge the best of two worlds, the biological and the tech-nological realm, to develop living adaptive energy-autonomous Materials Systems.
The aim of this cluster is to enable machine learning to take a central role in all aspects of scientific discovery and to understand how such a transformation will impact the scientific approach as a whole.
The Cluster of Excellence POLiS develops the necessary new battery materials and technology concepts for efficient and sustainable storage of electrical energy.