CUBI employees are equipped with modern, high-performance laptops that enable flexible work arrangements. These devices support interactive exploration of large datasets and offer high customizability through the consistent use of open-source software in a Linux-based work environment. Integrated into the IT frameworks of the Center for Digital Medicine, CUBI’s systems are well-protected, providing a secure foundation for the bioinformatic analysis of highly complex datasets.
Infrastructure
All CUBI team members have access to a comprehensive IT infrastructure that meets all performance and data protection requirements, enabling projects of any size - including those involving sensitive data - to be carried out securely.
CUBI collaborates closely with specialized IT and research data management departments, eliminating the need to independently manage or operate infrastructure. This allows all team members to focus entirely on their projects to meet the high scientific standards of Heinrich Heine University (HHU).
| Project counseling (up to 5 hours) | free |
| Hourly rate | EUR 50,- |
© Peter Ebert
The high-performance computing system of the University Medicine ("Medical / M-HPC") is operated by the Research IT department of the Medical Faculty in collaboration with the university hospital’s IT department. The M-HPC features state-of-the-art equipment for both CPU- and GPU-intensive applications, along with a storage solution that can scale into the petabyte range. By adhering to strict security protocols and operating within a highly secure network environment, the M-HPC is also capable of processing health data.
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The Center for Information and Media Technology (ZIM) at Heinrich Heine University operates the high-performance computing system "HILBERT," which is available to all researchers on campus for processing non-sensitive data. Using HILBERT, CUBI can efficiently handle large-scale projects, such as those involving mouse models or publicly accessible reference datasets. The system includes various node types optimized for both CPU- and GPU-intensive applications.
© Peter Ebert