diff --git a/doc.zih.tu-dresden.de/docs/access/jupyterhub.md b/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
index 1b47dae48a65f5e8b5119d4040fa6e45bed5332b..790e8b92c6a24ebfc08d8096ea14cbe68142b708 100644
--- a/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
+++ b/doc.zih.tu-dresden.de/docs/access/jupyterhub.md
@@ -60,7 +60,7 @@ We have created three profiles for each cluster, namely:
| Barnard | 1 core, 1.5 GB, 1 hour | x86_64 (Intel) | Python programming |
| Barnard | 2 core, 3 GB, 4 hours | x86_64 (Intel) | Julia and R programming |
| Barnard | 4 core, 8 GB, 8 hours | x86_64 (Intel) | |
-| Capella | 1 core, 1.5 GB 1 hour | x86_64 (AMD) | Python programming |
+| Capella | 1 core, 1.5 GB, 1 hour | x86_64 (AMD) | Python programming |
| Capella | 2 core, 3 GB, 4 hours | x86_64 (AMD) | R programming |
| Capella | 4 core, 8 GB, 8 hours | x86_64 (AMD) | |
| Romeo | 1 core, 1.5 GB 1 hour | x86_64 (AMD) | Python programming |
diff --git a/doc.zih.tu-dresden.de/docs/access/jupyterlab.md b/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
index c4fa93e14711931e7566b524a43452e2708550b8..595e023abd8d0a25bc316f8e1ec84d17aece2f41 100644
--- a/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
+++ b/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
@@ -59,8 +59,8 @@ Wait until you receive a message with further instructions on how to connect to
```console
marie@local$ ssh -XC marie@login1.capella.hpc.tu-dresden.de
- marie@login$ ml release/24.04 GCCcore/12.2.0
- marie@login$ ml Python/3.10.8
+ marie@login$ module load release/24.04 GCCcore/12.2.0
+ marie@login$ module load Python/3.10.8
marie@login$ source /software/util/JupyterLab/barnard/jupyterlab-4.0.4/bin/activate
marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 --pty --gres=gpu:1 bash -l
marie@compute$ jupyter lab -y