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University of Groningenfounded in 1614  -  top 100 university
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Publications

Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations

Drivers of black hole growth and galaxy evolution

Looking into the faintEst WIth MUSE (LEWIS): Exploring the nature of ultra-diffuse galaxies in the Hydra-I cluster II. Stellar kinematics and dynamical masses

Dust and power: Unravelling the merger-active galactic nucleus connection in the second half of cosmic history

Euclid. I. Overview of the Euclid mission

Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning

Euclid preparation XLIII. Measuring detailed galaxy morphologies for Euclid with machine learning

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

Galaxy populations in the Hydra I cluster from the VEGAS survey: III. The realm of low surface brightness features and intra-cluster light

Object classification with Convolutional Neural Networks: from KiDS to Euclid