[OGAP-l] 4EU+ summer school in machine learning in physics - Přihlášky do: / Apply by: 1. 5. 2025

[Ivana Herglová]

Vážené kolegyně,
Vážení kolegové,

Evropská univerzitní aliance 4EU+ nabízí zájemcům z řad doktorských studentů vysokých škol sdružených do aliance, kam spadá i UK, zdarma místa na letní škole "Between models and reality: school in machine learning in physics". Běžný účastnický poplatek je 400 EUR.

V případě zájmu se registrujte co nejdříve na webové stránce letní školy, https://indico.nbi.ku.dk/event/2153/overview; místa jsou udělována systémem "first come, first served".

Příspěvek na ubytování a cestovné můžete získat např. z fondu na Podporu internacionalizace UK, POINT, https://cuni.cz/UK-9030.html (přihlášky je na MFF možné podat do 22. 4. 2025).

S pozdravem,

Ivana Herglová

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Dear colleagues,

the European University Alliance 4EU+ offers to the Ph.D. students of the 4EU+ member universities including Charles University free of charge participation in the summer school "Between models and reality: school in machine learning in physics". The regular participation fee would be 400 EUR.

In the case of interest, register as soon as possible at the website of the summer school, https://indico.nbi.ku.dk/event/2153/overview. The applications are evaluated on "first come, first served" basis.

You can receive also contribution for the accommodation and travel costs, e.g. from the "Support for the Internationalisation of Charles University" fund, POINT, https://cuni.cz/UKEN-924.html (the applications at the Faculty of Mathematics and Physics are possible up until April 22, 2025).

Best regards,

Ivana Herglová

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Více informací / More information:
University of Copenhagen website: https://indico.nbi.ku.dk/event/2153/overview
4EU+ website: https://4euplus.eu/4EU-415.html?newsID=25351

The summer school Between models and reality: school in machine learning in physics focuses on the application of machine learning to physics research and the many challenges and solutions it entails. The summer school's primary focus is on application and it combines lectures, exercises and social events. Read the course description and apply<https://indico.nbi.ku.dk/event/2153/overview>.
The summer school is relevant to PhD students in the field of physics (or a related 'large research data' science), who want to learn more about both basic and more advanced machine learning approaches and ways of thinking.

Lectures will be delivered by a diverse group of physicists and computer scientists, led by the world-class researchers Tilman Plehn (Heidelberg University) and Thea Aarrestad (ETH Zurich) on topics such as:

  *   Bayesian neural networks
  *   Uncertainty quantification and learning
  *   Generative machine learning
  *   Representation learning
  *   Fast machine learning
  *   Physics-informed neural networks

Venue: Niels Bohr Institute, University of Copenhagen
When: 2 to 6 June 2025
Credits: 2.5 ECTS
Fee: No course fee for PhD students from 4EU+ universities
Apply by: 1 May 2025
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