diff --git a/README.md b/README.md
index 74a450d..4d92e4d 100644
--- a/README.md
+++ b/README.md
@@ -62,7 +62,7 @@ The image of this repository is available on [Dockerhub](https://hub.docker.com/
     environment will be downloaded:
    ```bash
    cd your-working-directory 
-   docker run --gpus all -d -it -p 8848:8888 -v $pwd/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root cschranz/gpu-jupyter:v1.2_cuda-10.1_ubuntu-18.04_python-only
+   docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root cschranz/gpu-jupyter:v1.2_cuda-10.1_ubuntu-18.04_python-only
    ```
    This starts an instance with of *GPU-Jupyter* the tag `v1.2_cuda-10.1_ubuntu-18.04_python-only` at [http://localhost:8848](http://localhost:8848) (port `8484`).
    The default password is `asdf` which should be changed as described [below](#set-password). 
@@ -92,7 +92,7 @@ with the default password `asdf`.
   # generate a Dockerfile with python and without Julia and R
   ./generate-Dockerfile.sh --no-datascience-notebook  
   docker build -t gpu-jupyter .build/  # will take a while
-  docker run --gpus all -d -it -p 8848:8888 -v $pwd/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root --restart always --name gpu-jupyter_1 gpu-jupyter 
+  docker run --gpus all -d -it -p 8848:8888 -v $(pwd)/data:/home/jovyan/work -e GRANT_SUDO=yes -e JUPYTER_ENABLE_LAB=yes --user root --restart always --name gpu-jupyter_1 gpu-jupyter 
   ``` 
 
 This starts a container WITH GPU support, a shared local data volume `data`