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Paul Scherrer Institute (PSI)

The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences based in Switzerland, conducting cutting-edge research in three main fields: matter and materials, energy and the environment and human health. PSI develops, builds and operates complex large research facilities. Every year, more than 2400 scientists from Switzerland and around the world come to PSI to use their unique facilities to carry out experiments that are not possible anywhere else. PSI is committed to the training of future generations.

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Paul Scherrer Institute (PSI) https://www.psi.ch/ https://pan-training.eu/content_providers/paul-scherrer-institute-psi The Paul Scherrer Institute PSI is the largest research institute for natural and engineering sciences based in Switzerland, conducting cutting-edge research in three main fields: matter and materials, energy and the environment and human health. PSI develops, builds and operates complex large research facilities. Every year, more than 2400 scientists from Switzerland and around the world come to PSI to use their unique facilities to carry out experiments that are not possible anywhere else. PSI is committed to the training of future generations. /system/content_providers/images/000/000/004/original/images.png?1761319637

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knodel (Oliver Knodel)
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  • Materials (6)
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  • workflow

    Full-field Tomography at PSI

    synchrotron imaging Jupyter notebooks Python Pulmonary arterial hypertension
  • slides

    ETH Lib4RI: Research Data Management – The Basics

    data catalogue data management metadata SciCat
  • slides, video

    UmbrellaID Workshop: Keycloak

    UmbrellaID
  • service

    PSI Data Portal

    Synchrotron PaN SciCat ExPaNDS PaNOSC data management discovery
  • service

    Materials Cloud Archive

    Open data Materials Science Computing Simulations
  • service

    AiiDAlab Quantum ESPRESSO app

    Materials Science Computing Simulations Workflows login required
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The training portal for the photon & neutron community is supported through the European Union's Horizon 2020 research and innovation programme, under grant agreement 857641, 823852, the Horizon Europe Framework under grant agreement 101129751, and the consortium DAPHNE4NFDI in the context of the work of the NFDI e.V. under the DFG - project number 460248799.