Update folder locations (resolves #11)

.env.example

@@ -2,7 +2,7 @@
 
 # choose an Enroot Image
 # IMPORTANT: For the scripts provided here to function correctly, there needs to be conda installed in that image!
-CONTAINER_IMAGE=/netscratch/enroot/nvcr.io_nvidia_pytorch_23.07-py3.sqsh
+CONTAINER_IMAGE=/enroot/nvcr.io_nvidia_pytorch_23.07-py3.sqsh
 
 # chooses a Slurm partition
 PARTITION=batch
@@ -38,7 +38,7 @@ HOST_CONDA_ENVS_DIR=/netscratch/$USER/miniconda3
 # change this if you use another Enroot image with a different conda location
 CONTAINER_CONDA_ENVS_DIR=/opt/conda
 # assemble everything:
-CONTAINER_MOUNTS=/netscratch:/netscratch,/ds:/ds:ro,"$HOST_WORKDIR":"$CONTAINER_WORKDIR","$HOST_CONDA_ENVS_DIR":"$CONTAINER_CONDA_ENVS_DIR","$HOST_CACHEDIR":"/home/$USER/.cache","$HOST_CACHEDIR":/root/.cache,"$HOST_CACHEDIR":/home/root/.cache
+CONTAINER_MOUNTS=/netscratch:/netscratch,/fscratch/$USER:/fscratch/$USER,/ds:/ds:ro,"$HOST_WORKDIR":"$CONTAINER_WORKDIR","$HOST_CONDA_ENVS_DIR":"$CONTAINER_CONDA_ENVS_DIR","$HOST_CACHEDIR":"/home/$USER/.cache","$HOST_CACHEDIR":/root/.cache,"$HOST_CACHEDIR":/home/root/.cache
 
 # Define which conda environment should be activated. Set to $CONDA_DEFAULT_ENV, to use the one that is activated at
 # the host. If not defined, no conda environment will be activated and the base python interpreter will be used.