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Archiwum BP4

Leveraging the synergies between next-generation surveys with the SKA and LSST

Where do merging binary black holes come from?

Clouds in AGN

Galaxy merger challenge: A comparison study between machine learning-based detection methods

Addressing Big Data Challenges in Space Science

Cosmology in DECIGO Era

The EDGE-CALIFA survey: unveiling the star formation quenching mechanisms in the local Universe

THEMIS: a holistic view of dust and its evolution

Reshaping Galaxy Zoo for the Deep Learning Era

The challenges of the modelling Changing Look Active Galactic Nuclei phenomena