add information of possible applicants & NHR center again. corrected link and order of tabs.

doc.zih.tu-dresden.de/docs/application/overview.md

 # Application for HPC Resources
 
 You will find comprehensive information regarding the application process on the webpage
-[Project Application for using the HPC Systems](https://tu-dresden.de/zih/hochleistungsrechnen/zugang/projektantrag)
-.
+[Project Application for using the HPC Systems](https://tu-dresden.de/zih/hochleistungsrechnen/zugang/projektantrag).
 
-Furthermore, below you will find the information about:
+You will find in this section information about:
 
+- [Terms of Use](terms_of_use.md)
 - Manage members and their access to the project via
   [User Management for Project Leaders](project_management.md)
 - [Acknowledgment in Publications](acknowledgement.md)
-- [Terms of Use](terms_of_use.md)
+
+
+## NHR Center
+
+Since 2021, HPC at universities has been restructured by the [NHR network](https://www.nhr-verein.de/).
+The network consists of nine centers which operate the systems and offer
+a coordinated consulting service on the methodological competence of scientific HPC.
+The aim is to provide scientists at German universities with computing capacity
+for their research and to strengthen their skills in the efficient use of these resources.
+
+
+In order to use the HPC systems installed at ZIH, it is necessary to apply for the resources.
+The applicant (HPC project manager) is required to have a doctorate/PhD.
+It is possible to apply for different [project types](project_request_form.md#project-type)
+depending on the project demands.
+
+However, the [application workflow with JARDS](https://tu-dresden.de/zih/hochleistungsrechnen/zugang/projektantrag) is identical for all types.
+
+
+
+??? Info  "Who can apply?"
+
+    Please note: Researchers with a doctorate from universities or universities of applied sciences
+    in Germany are eligible to apply.
+
+    We particularly invite researchers to apply with research projects related to our focus topics:
+
+       * Life Sciences
+       * Earth System Sciences
+       * Methods for big data, data analysis and management
+       * Machine Learning
+       * Tiered storage architectures and I/O optimization
+       * Performance and energy efficiency analysis and optimization
+       * Research projects not related to our focus topics but from Universities within Saxony.
+
+    We recommend **all other researchers** to review the focus topics of the remaining
+    [NHR centers](https://www.nhr-verein.de/anwendungsunterstuetzung) and apply to the most suitable
+    for your research topic. Working at the specialized NHR center related to your research topic
+    provides you with the advantage of receiving topic specific support.
+
+