Simon Pfreundschuh will defend his thesis: "Improving retrievals of clouds and precipitation using machine learning".
Simon is a PhD Student at the division of Geoscience and remote sensing at the Department of Space, Earth and Environment.
Supervisor: Patrick Eriksson, Geoscience and remote sensing
Examiner: Donal Murtagh, Geoscience and remote sensing
Faculty examiner: Dr. Peter Dueben, Coordinator of Machine Learning and AI activities at the European Centre for Medium Range Weather Forecasts
EB, lecture hall, Hörsalsvägen 11, EDIT trappa C, D och H
19 May, 2022, 14:30
19 May, 2022, 17:00