The school was run as three days of content. The first day was an introduction to ADACS and Australian computing resources, followed by a panel discussion on the topic of “The imperative to reduce carbon emissions in astronomy”. The second two days consisted of four sets of 90-minute workshops. The school was held online via Zoom.
Topics covered include:
The workshop content can be found at:
Recordings of all the workshops can be found on YouTube via this playlist.
Check out some of our other training projects.
A four-part ML (machine learning) workshop consisting of a lecture on the history of ML and it's applications in astronomy research and three deep-dive sessions to apply ML techniques to astronomy data sets.
This training is designed to teach researchers project management skills that can make both their personal and collaborative projects more efficient.
The NextFlow training provided comprehensive instruction on workflow orchestration, including running and developing NextFlow workflows, using containers (docker and singularity), configuring NextFlow with SLURM, and covering best practices.