diff --git a/README.md b/README.md
index 0e565b3..efffa1f 100644
--- a/README.md
+++ b/README.md
@@ -32,13 +32,13 @@ Before running the application, make sure you have the following prerequisites i
 
 ## Getting Started
 
-1. Build and transfer the Conda environment to Hawk:
+### 1. Build and transfer the Conda environment to Hawk:
 
 Only the `main` and `r` channels are available using the Conda module on the clusters. To use custom packages, we need to move the local Conda environment to Hawk. 
 
 Follow the instructions in [the Conda environment builder repository](https://code.hlrs.de/SiVeGCS/conda-env-builder). The YAML file to create a test environment is available in the `deployment_scripts` directory.
 
-2. Allocate workspace on Hawk:
+### 2. Allocate workspace on Hawk:
 
 Proceed to the next step if you have already configured your workspace. Use the following command to create a workspace on the high-performance filesystem, which will expire in 10 days. For more information, such as how to enable reminder emails, refer to the [workspace mechanism](https://kb.hlrs.de/platforms/index.php/Workspace_mechanism) guide.
 
@@ -47,33 +47,33 @@ ws_allocate dask_workspace 10
 ws_find dask_workspace # find the path to workspace, which is the destination directory in the next step
 ```
 
-3. Clone the repository on Hawk to use the deployment scripts and project structure:
+### 3. Clone the repository on Hawk to use the deployment scripts and project structure:
 
 ```bash
 cd <workspace_directory>
 git clone <repository_url>
 ```
 
-4. Send all the code to the appropriate directory on Vulcan using `scp`:
+### 4. Send all the code to the appropriate directory on Vulcan using `scp`:
 
 ```bash
 scp <your_script>.py <destination_host>:<destination_directory>
 ```
 
-5. SSH into Vulcan and start a job interactively using:
+### 5. SSH into Vulcan and start a job interactively using:
 
 ```bash
 qsub -I -N DaskJob -l select=1:node_type=clx-21 -l walltime=02:00:00
 ```
 Note: For multiple nodes, it is recommended to write a `.pbs` script and submit it using `qsub`.
 
-6. Go into the directory with all code:
+### 6. Go into the directory with all code:
 
 ```bash
 cd <destination_directory>
 ```
 
-7. Initialize the Dask cluster:
+### 7. Initialize the Dask cluster:
 
 ```bash
 source deploy-dask.sh "$(pwd)"