CIBSS-D – Integrative Signalling Technologies
CIBSS develops powerful new technologies for the quantitative analysis of the composition of signalling assemblies and the spatiotemporal dynamics of signalling processes across biological scales. These technologies will provide unprecedented insight into signalling processes, thereby accelerating research in all areas of CIBSS.
Funded projects within Research Area D
• Data efficient deep learning (Thomas Brox)
• Mechanistic understanding of signalling by single-molecule fluorescence (Thorsten Hugel)
• Multi-scale modelling, omics data analyses and statistical support (Clemens Kreutz)
• Mathematical Modelling for CIBSS (Jens Timmer)