diff --git a/doc.zih.tu-dresden.de/docs/access/jupyterlab.md b/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
index 920a73e3fa32ed14e4faddf7cab86d01091e09a0..17055be844041bc0ecc8f8b38874c617ca163f0d 100644
--- a/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
+++ b/doc.zih.tu-dresden.de/docs/access/jupyterlab.md
@@ -9,7 +9,8 @@
     marie@login$ ml release/23.04 GCCcore/12.2.0
     marie@login$ ml Python/3.10.8
     marie@login$ source /software/util/JupyterLab/alpha/jupyterlab-4.0.4/bin/activate
-    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 --gres=gpu:1 jupyter lab --port=8888 -y
+    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 --port=8888 -y
     ```
 
 === "barnard"
@@ -19,7 +20,8 @@
     marie@login$ ml release/23.10 GCCcore/12.2.0
     marie@login$ ml 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 jupyter lab --port=8888 -y
+    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 --pty bash -l
+    marie@compute$ jupyter lab --port=8888 -y
     ```
 
 === "romeo"
@@ -29,7 +31,8 @@
     marie@login$ ml release/23.04 GCCcore/12.2.0
     marie@login$ ml Python/3.10.8
     marie@login$ source /software/util/JupyterLab/romeo/jupyterlab-4.0.4/bin/activate
-    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 jupyter lab --port=8888 -y
+    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 --pty bash -l
+    marie@compute$ jupyter lab --port=8888 -y
     ```
 
 === "visualization"
@@ -40,7 +43,8 @@
     marie@login$ ml Python/3.10.8
     marie@login$ source /software/util/JupyterLab/vis/jupyterlab-4.0.4/bin/activate
     marie@login$ export SLURM_CONF=/software/util/dcv/etc/slurm/slurm.conf
-    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 jupyter lab --port=8888 -y --browser=chromium-browser
+    marie@login$ srun --nodes=1 --ntasks=1 --cpus-per-task=4 --mem-per-cpu=8192 --x11 --pty bash -l
+    marie@compute$ jupyter lab --port=8888 -y --browser=chromium-browser
     ```
 
     If you then want to start a DCV session, click the button and a new tab appear.