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PaNOSC Summer School 2022
12 September, 2022 - 16 September, 2022
Data is at the centre of using large scale scientific research infrastructures.
PhD Students and Postdoc researchers that want to increase their knowledge about the latest data-driven tools and methods to leverage large scale scientific research infrastructures are invited to join the PaNOSC Summer School on “Material Science at European Large-Scale Infrastructures using Open and FAIR Data”, to be held from 12 to 16 September, 2022, at ELI-ALPS in Szeged, Hungary.
>> BROWSE THE AGENDA
>> REGISTER HERE
The Summer School will introduce the modern data tools necessary to do science at large scale research infrastructures. The core focus will be on a science case of Energy Materials – investigated with X-ray, Neutron & Laser techniques with the emphasis on the complementarity of the various techniques presented.
Participants will also be introduced to the PaNOSC project and the work carried out to develop FAIR data tools and services for the users of photon and neutron facilities, as well as to the EOSC and the PaN community trends in the domain of FAIR data.
Moreover, the Jupyter and Python environments and tools for data visualisation, analysis and experiments’ simulation will be showcased. Other topics will span the common data search API, standard file formats (NeXus, HDF5), and hints and tips for proposal writing and data management.
Overall, the school will provide students with the knowledge of the data life-cycle and experience with writing proposals to access photon and neutron research infrastructure for beam time.
The school will take place at the premises of ELI-ALPS in Szeged, Hungary, and in addition to the scientific programme there will be the opportunity to network with fellow data-focused researchers in a social programme.
Participation in the school is free of charge. Secure your seat. Places are limited!
Registration closes: 6th August
>> EVENT’S WEBSITE
>> REGISTER HERE
The Summer School is organised in the framework of the PaNOSC project, by ESS and ELI ERIC.