Staff

Marvin Höge

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Dr. Marvin Höge

Department Systems Analysis, Integrated Assessment and Modelling

About Me

I am a post-doctoral researcher developing machine-learning methods and generating big open data sets for hydro-meteorologic research and predictions.

My main area of work is Scientific Machine Learning (SciML) and I presented its use and potential in hydrology at the online SciML conference in spring 2022 - please see: https://scimlcon.org/2022/

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Publications

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This member of staff no longer works at Eawag. Please contact info@eawag.ch for further information.

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Focalpoints

Merging physics and machine learning for hydrosystem modelling

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