This lecture series, organized by the DAPHNE4NFDI consortium, aims at introducing to several common experimental techniques being used at large-scales facilities, i. e. neutron sources and synchrotrons, and various data aspects.
The lectures will cover the basics of the methods and show practical application of these. In addition, challenges and opportunities on how to properly and efficiently handle the large datasets produced during experiments (i.e., improved research data management, automatic ingestion of metadata, artificial intelligence and machine learning models) are tackled to emphasize this mostly hidden aspect as well. The lecture series is aimed at MSc and PhD students, but also interested postdocs.
The course corresponds to 2 ECTS points.
The lecture series consists of 16 lectures and takes place every Tuesday at 3:30 PM (CET), starting from 28/10/2024. Please check content material before each lecture to get the latest version - agenda follows.
Paolo Dolcet and Vitaly Biniyaminov,