This is an occasional and informal series of meetings on topics related to Machine Learning in Nuclear, Atomic and Molecular Physics, usually held in the NDS Library (Room A23-34) and sometimes online.
In the last few years, events have been transformed from in-person to online. This includes technical workshops, where the participants are expected to gain hands-on experience using scientific software tools and methods presented in the lectures.
The Atomic and Molecular Data Unit (AMD Unit) ran one of these workshops last year, the Joint ICTP-IAEA Virtual Workshop on Atomistic Modelling of Radiation Damage in Nuclear Systems (4 – 8 October 2021), and successfully used JupyterHub as an online teaching platform, engaging participants in technical exercises.
This talk will present JupyterHub in general, and the setup used for this ICTP workshop, in particular.[presentation [pdf]]