Simon Pfreundschuh, Space, Earth, and Environment

​​Improving retrievals of clouds and precipitation using machine learning
​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 

Contact Simon to get at password for the online defense. 
Category Thesis defence
Location: EB, lecture hall, Hörsalsvägen 11, EDIT trappa C, D och H
Starts: 19 May, 2022, 14:30
Ends: 19 May, 2022, 17:00

Page manager Published: Thu 02 Jun 2022.