Swiss SKA Days - September 6-8, 2023, University of Zurich.
The 7th Swiss SKA Days will center around discussions of the ambitious SKA radio-astronomy project at the forefront of advanced technology and computing, focusing on the Swiss interest and participation in this ambitious project. It will take place at the University of Zurich.
Platform for Advanced Scientific Computing (PASC) Conference - June 26-28, 2023, Davos.
The PASC Conference series is an international and interdisciplinary platform for the exchange of knowledge in scientific computing and computational science with a strong focus on methods, tools, algorithms, application challenges, novel techniques and usage of high performance computing.
January 12-13, 2023, SKACH Winter Consortium Meeting, University of Basel
This internal, biannual meeting brought SKACH partners together from across Switzerland to Basel to share consortium-wide updates, and updates from the five SKACH programs: Comms and Outreach, Instrumentation, Computing Platforms and Infrastructure, Data Science, and Science.
October 3-4, 2022: Swiss SKA Days, Lugano
The 6th Swiss SKA Days centered around discussions of the ambitious SKA radio-astronomy project at the forefront of advanced technology and computing, focusing on the Swiss interest and participation in this ambitious project. It took place at the Università della Svizzera italiana (USI) in Lugano at the invitation of the Swiss National Supercomputing Centre (CSCS).
May 25, 2022: SKACH at WEF in Davos
At the House of Switzerland in Davos, key players involved in getting Switzerland on board of the SKAO came together to discuss Switzerland’s participation in the Observatory, and what it means for Switzerland and for SKAO. The event was broadcast remotely.
May 24, 2022: SKACH Spring Consortium Meeting, ETH Zurich
This event brought SKACH partners together to Zurich from across the country to share consortium-wide updates, and updates from the five SKACH programs: Comms and Outreach, Instrumentation, Computing Platforms and Infrastructure, Data Science, and Science.