diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
index bd317354d0775d3c692da0e69258b2acc96c9c9a..c28932a8dd3ee79eb7a33725f16fe3e352177b1f 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
@@ -8,8 +8,8 @@ depend on the type of parallelization and architecture.
 ### OpenMP Jobs
 
 An SMP-parallel job can only run within a node, so it is necessary to include the options `--node=1`
-and `--ntasks=1`. The maximum number of processors for an SMP-parallel program is 896 on
-partition `taurussmp8`, as described in the
+and `--ntasks=1`. The maximum number of processors for an SMP-parallel program is 896 on the cluster
+[`Julia`](julia.md) as described in the
 [section on memory limits](slurm_limits.md#slurm-resource-limits-table). Using the option
 `--cpus-per-task=<N>` Slurm will start one task and you will have `N` CPUs available for your job.
 An example job file would look like:
@@ -22,8 +22,7 @@ An example job file would look like:
     #SBATCH --tasks-per-node=1
     #SBATCH --cpus-per-task=8
     #SBATCH --time=08:00:00
-    #SBATCH --job-name=Science1
-    #SBATCH --mail-type=end
+    #SBATCH --mail-type=start,end
     #SBATCH --mail-user=<your.email>@tu-dresden.de
 
     export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK