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<div dir="ltr">For the attention of Astronomy PhD students and postdocs.</div>
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<div dir="ltr">Best wishes,</div>
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Alfonso</div>
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<div id="ms-outlook-mobile-signature"><span style="font-family: Arial, sans-serif; font-size: 11pt; color: rgb(0, 155, 189);"><b>Alfonso Aragón-Salamanca</b></span><br>
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<span style="font-family: Arial, sans-serif; color: rgb(19, 27, 87);"><b>Professor of Astronomy</b></span></p>
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<span style="font-family: Arial, sans-serif; color: rgb(19, 27, 87);"><b>University of Nottingham</b></span></p>
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<div id="divRplyFwdMsg" dir="ltr"><span style="font-family: Calibri, sans-serif;"><b>From:</b> 'Johan Knapen' via Lista de anuncios de la SEA <sea-anuncios@sea-astronomia.es><br>
<b>Sent:</b> Thursday, April 10, 2025 17:04<br>
<b>To:</b> astros-iac@iac.es <astros-iac@iac.es>; SEA Anuncios <sea-anuncios@sea-astronomia.es><br>
<b>Subject:</b> [sea-anuncios] Apply now to attend the Second EDUCADO training school, June 16-20 2025 in La Laguna, on Computer Science Applications in Astrophysics</span>
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<br>
SECOND EDUCADO TRAINING SCHOOL IN TENERIFE<br>
<br>
JUNE 16 - 20, 2025<br>
<br>
<i>Detailed information on the syllabus and instructors, as well as on the registration costs and procedure and logistical aspects, can be found on our website,
<a href="https://research.iac.es/proyecto/educado/pages/events/training-schools/second-training-school.php" class="moz-txt-link-freetext">
https://research.iac.es/proyecto/educado/pages/events/training-schools/second-training-school.php</a>.</i><br>
<br>
The second Training School of the EU-funded Doctoral Network EDUCADO, organized by the Instituto de Astrofísica de Canarias (IAC) , will provide an intensive exploration of key concepts in computer science and their applications in astrophysics. Scheduled to
take place in the Guajara campus of the University of La Laguna in San Cristóbal de La Laguna (Tenerife, Spain) from 16-20 June 2025, the school will welcome up to around 80 PhD students and early-career postdoctoral researchers. This training school offers
a unique opportunity for participants to engage with leading experts and deepen their knowledge in advanced computational techniques, including principles and application of machine learning (ML), advanced morphological filters/mathematical morphology, and
probabilistic modeling. Additional sessions are included on good coding practices and on soft skills.<br>
<br>
The program is designed to promote both theoretical understanding and practical expertise, with a combination of lectures, hands-on project work, and interactive discussions. The program also includes a visit to the Teide Observatory during the week.<br>
<br>
The deadline for applications is 25 April, 2025, with applicants receiving notification of their acceptance by 2 May, 2025. The registration fee for participants is €350. Acceptance does not guarantee registration; participants must complete payment to secure
their spot in the school.<br>
<br>
<i>Topics:</i><br>
<br>
Bayesian modeling and Machine Learning<br>
<br>
Applications of Machine Learning in Astronomy<br>
<br>
Connected Morphological Image Processing in Astronomy<br>
<br>
Project Work<br>
<br>
How to write good code<br>
<br>
Dealing with Impostor Syndrome<br>
<br>
Time management<br>
<br>
<i>Instructors include:<br>
<br>
</i>Dalia Dobrycheva, Main Astronomical Observatory, Kyiv, Ukraine<br>
<br>
Guillaume Thomas, Instituto de Astrofísica de Canarias, La Laguna, Spain<br>
<br>
Hugues Talbot, Universite Paris-Saclay, France<br>
<br>
Kerstin Bunte, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands<br>
<br>
Malgorzata Siudek, Instituto de Astrofísica de Canarias, La Laguna, Spain<br>
<br>
Michael Wilkinson, Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence, University of Groningen, The Netherlands<br>
<br>
Nikolaos Gianniotis, Heidelberg Institute for Theoretical Studies, Germany<br>
<br>
Peter Tino, School of Computer Science, University of Birmingham, UK<br>
<br>
Petra Awad, Leiden Observatory, the Netherlands<br>
<br>
<br>
<hr>
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