Machine-learning tools for photo-z and AGN selections

Summary
Develop machine-deep-learning methods for photometric redshifts and Bayesian/Monte Carlo routines for optimization of AGN selections in multiwavelength data.
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Web resources: https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ff6e0083&appId=PPGMS
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