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Would you like to manage your research data (more) efficiently? Then join our workshop on Research Data Management for Science and Engineering on October 11, 2022.

The Competence Network for Scientific High Performance Computing in Bavaria (KONWIHR) is providing technical support for the use of high performance computers and aims to expand their deployment potential through research and development projects. Within the 2022/1 application round a total of 7…

**German only** Angeboten vom LS für Aerordynamik und Strömungsmechanik

Noether Networks for Fluid Mechanics Use meta-learning to learn the conserved quantities of fluid mechanics datasets. Manifold Learning in Fluid Mechanics Learn the low-dimensional manifolds, which enable for efficient generative modeling for fluid mechanics problems. Benchmarken des aktuellen…

For the first time the AER is participating in the [TUM Data Innovation Lab](https://www.mdsi.tum.de/di-lab/tum-di-lab/) of the [Munich Data Science Institute](https://www.mdsi.tum.de/mdsi/startseite/) with its own project on the software-level acceleration of neural network kernels used in the…

During this workshop we will present updates and current developments within research data management (RDM) in engineering science. Our focus will be on large and immobile data which is generated on (national) tier 1 computing centres (HLRS, JSC, LRZ). We will introduce RDM-tools and report newest…

https://www.epc.ed.tum.de/aer/studienarbeiten/

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