From 19718a3dde8d3406d5f3e022d08f263eb76732d6 Mon Sep 17 00:00:00 2001
From: Hauke Kirchner <hauke.gronenberg@gwdg.de>
Date: Fri, 7 Feb 2025 14:06:07 +0000
Subject: [PATCH] Added correct link for NHR applications

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 5499931..8431017 100644
--- a/README.md
+++ b/README.md
@@ -29,7 +29,7 @@ If you would like to run this code on the Cluster, you need an **account for the
 
 - **Are you taking the course?** If you are participating in a course , please follow these instructions and complete 1. Logging in and 2. Setting up the Conda Environment in this repository.
 
-- **Doing this on your own?** You can get an NHR account at https://zulassung.hlrn.de and a KISSKI account at https://kisski.gwdg.de/en/leistungen/documentation/first-steps/. NHR accounts are available and free for all researchers based in Germany. KISSKI is open to companies and researchers from sensitive and critical infrastructures. More details on the procedure can be found [in the slides](https://gitlab-ce.gwdg.de/dmuelle3/deep-learning-with-gpu-cores/-/blob/main/slides/01_introduction_gpu.pdf). 
+- **Doing this on your own?** You can get an NHR account as described in our [documentation](https://docs.hpc.gwdg.de/start_here/nhr_application_process/index.html) and a KISSKI account at https://kisski.gwdg.de/en/leistungen/documentation/first-steps/. NHR accounts are available and free for all researchers based in Germany. KISSKI is open to companies and researchers from sensitive and critical infrastructures. More details on the procedure can be found [in the slides](https://gitlab-ce.gwdg.de/dmuelle3/deep-learning-with-gpu-cores/-/blob/main/slides/01_introduction_gpu.pdf). 
 
 
 #### Logging in
-- 
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