[Astro] [CAPT] EDUCADO–MWGaiaDN Training School on Astro–AI and Machine Learning, taking place 2–6 March 2026 in Ghent, Belgium

[Alfonso Aragon-salamanca (staff)]

Dear all,

Of possible interest for quite a few people in CAPT. See below.

Best wishes,

Alfonso


Alfonso Aragón-Salamanca
Professor of Astronomy

School of Physics and Astronomy
University of Nottingham
Room B106b, Centre for Astronomy and Particle Theory
University Park
Nottingham, NG7 2RD, UK

+44 (0) 115 95 16230 | alfonso.aragon at nottingham.ac.uk<mailto:alfonso.aragon at nottingham.ac.uk>
URL: http://nottingham.ac.uk/physics/people/alfonso.aragon
General teaching enquiries physics-teaching at nottingham.ac.uk<mailto:physics-teaching at nottingham.ac.uk>

From: 'Johan Knapen' via Lista de anuncios de la SEA <sea-anuncios at sea-astronomia.es>
Sent: 18 December 2025 10:31
To: SEA Anuncios <sea-anuncios at sea-astronomia.es>
Subject: [sea-anuncios] EDUCADO–MWGaiaDN Training School on Astro–AI and Machine Learning, taking place 2–6 March 2026 in Ghent, Belgium


*please distribute*

Dear colleagues,

We are pleased to announce the EDUCADO–MWGaiaDN Training School on Astro–AI and Machine Learning, taking place 2–6 March 2026 in Ghent, Belgium.

Organized jointly by the EDUCADO<https://research.iac.es/proyecto/educado/> and MWGaiaDN<https://www.mwgaiadn.eu> MSCA Doctoral Networks, this training school brings together leading experts in artificial intelligence, machine learning, high-performance computing, and data visualization. Over the course of five days, participants will take part in a structured programme of expert-led lectures and hands-on training sessions, providing ample opportunities for direct engagement with lecturers and peers, and fostering scientific exchange and collaboration across research environments and disciplines.

This training school is ideally suited for early-career researchers in astronomy and astrophysics, but is equally valuable for any scientist interested in applying state-of-the-art AI/ML techniques to the exploration, analysis, and visualization of large observational, experimental, or simulation-based datasets.

Detailed information about the school is available on https://indico.global/event/16263/overview .

Applications to attend the school can be submitted until 1st February through the school webpage, or through https://indico.global/event/16263/registrations/3855/

We look forward to welcoming you to Ghent for an enriching week of learning and collaboration!

Best regards

Joha, Sven, Eric, for the organisers


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