ML&DL@FZJ.md

@@ -61,7 +61,7 @@ Methods: convolutional neural network (CNN) based pixel-precise multi-instance s
 
 * **[Quantitative Image Analysis](http://www.fz-juelich.de/ibg/ibg-2/EN/Research/ResearchGroups/enabling_technologies/Technologies/Image_Processing/Image_Processing_node.html)** at IBG-2<br>
 Contact: [Hanno Scharr](http://www.fz-juelich.de/ibg/ibg-2/EN/Staff/Enabling%20Technologies/Scharr_Hanno/Scharr.html?nn=548290), h.scharr@fz-juelich.de<br>
-image processing and computer vision for plant phenotyping, multi-instance segmentation, parameter estimation, statistical modeling, Gibbs Sampling, MCMC
+Image processing and computer vision for plant phenotyping, multi-instance segmentation, parameter estimation, statistical modeling, Gibbs Sampling, MCMC
 
 * **[Helmholtz Analytics Framework](http://www.helmholtz-analytics.de/)** (at JSC, INM-1, INM-6, IEK-8, ICS-6, IBG-3)<br>
 Contact: [Björn Hagemeier](http://www.fz-juelich.de/SharedDocs/Personen/IAS/JSC/EN/staff/hagemeier_b.html?nn=2191370), b.hagemeier@fz-juelich.de<br>
@@ -91,4 +91,4 @@ tbd
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-last change: 18.4.2019 sw
+last change: 23.4.2019 sw
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