This study will examine whether the application of hybrid classifiers increases the classification accuracy in comparison to a single classifier. A combination between parametric and non-parametric classifiers will be applied and their performance will be assessed. The student is expected to gain a deep knowledge of applied Machine Learning algorithms within this innovation laboratory.
EAGLE Internship Presentation: Groundwater Level Trends in Germany: A National-Scale Assessment Using In-Situ Monitoring Data and GRACE Satellite Products
On August 04, 2026 Anugraha Das will present her internship results on " Groundwater Level Trends in Germany: A National-Scale Assessment Using In-Situ Monitoring Data and GRACE Satellite Products" at 12:00 at the seminar room 3 in John-Skilton-Str. 4a. From the...



![[spotlight] Lecturer Spotlight: Martin Wegmann](https://eagle-science.org/wp-content/uploads/2026/07/Martin_Wegmann_EAGLE_lecture_2026-400x250.jpg)




