A-list-of-expertise,-type-of-data,-and-needs-of-the-network's-members.md

@@ -12,7 +12,7 @@ Dickscheid, Timo t.dickscheid@fz-juelich.de |	INM-1 Big Data Analytics Group (BD
 | Hagemeier, Björn b.hagemeier@fz-juelich.de | JSC Project Helmholtz Analytics Framework | Basic ML methods | | | |
 | Stadtler, Scarlet s.stadtler@fz-juelich.de | JSC Federated Systems and Data Division | Absolute Beginner (At JSC courses in ML and DL) | Meteorological four dimensional Data (space and time) | meet ML experts, possibility to discuss individual DL problems | |
 | Goergen, Klaus k.goergen@fz-juelich.de | IBG-3 Integrated Modelling | various supervised and unsupervised methods, 
-PCA, CCA, SOMs; not used recently though | Regional climate model outputs, meteorological observations | big data (200-300TB) capable data analytics frameworks | none |
+ PCA, CCA, SOMs; not used recently though | Regional climate model outputs, meteorological observations | big data (200-300TB) capable data analytics frameworks | none |
 | Krajsek, Kai k.krajsek@fz-juelich.de | JSC HPC in Neuroscience | Supervised Learning Unsupervised Learning Meta-Learning, Inverse Modelling with ML, Deep Learning in Computer Vision, Probabilistic Inference, Gaussian Processes | Meteorological model output (4D space-time volumes), Diffusion MRI data | |
 
  		
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