Update README.md

README.md

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 ## Content
 
+* [Machine Learning summer schools and courses on Earth System Science]()
 * [Geospatial Analysis and Mapping](#geospatial-analysis-and-mapping)
 * [Hydrology](#hydrology)
  + [Data Collection](#data-collection)
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+# Machine Learning summer schools and courses on Earth Sciences
+
+- [Joint IS-ENES3/ESiWACE2 Virtual Workshop on New Opportunities for ML and AI in Weather and Climate Modelling (2021)](https://portal.enes.org/community/announcements/events/joint-is-enes3-esiwace2-virtual-workshop-on-new-opportunities-for-ml-and-ai-in-weather-and-climate-modelling)
+
+- [NCAR Summer school (2020) Artificial Intelligence for Earth System Science (AI4ESS) Summer School](https://www2.cisl.ucar.edu/events/summer-school/ai4ess/2020/artificial-intelligence-earth-system-science-ai4ess-summer-school)
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+- [Royal Meteorological Society (5 March 2021): Machine Learning Applications in the Atmospheric Sciences](https://www.rmets.org/event/virtual-meeting-machine-learning-applications-atmospheric-sciences)
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+- [US CLIVAR Climate Variability and Predictability Program: Data Science webinar series](https://usclivar.org/working-groups/data-science-working-group-webinar-series)
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+- [Helmholtz-Zentrum Geesthacht Machine Learning seminars with connections to Earth science, climate and weather and materials science](https://m-dml.org/seminar.html)
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+- [Online workshop: ML for Earth System Modelling and Analytics workshop 2021](https://www.dkrz.de/up/de-news-and-events/de-workshops-and-trainings/de-ml-workshop-2021)
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+- [2nd NOAA Workshop on Leveraging AI in Environmental Sciences](https://www.star.nesdis.noaa.gov/star/meeting_2020AIWorkshop_tutorials.php) 
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+- [CIRA Short Course On Machine Learning For Weather And Climate](https://docs.google.com/document/d/1SPNxZrbHMaIEaS2dbntDow9x_tgSuFTUTOugfa2NuRo/edit)
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+- [AMS 2021 short course on Machine Learning in Python for Environmental Science Problems](https://sites.google.com/view/amsai2021shortcourse/home)
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+
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+</br>
+
 # Geospatial Analysis and Mapping
 
 - [Geopandas](https://geopandas.org/index.html): GeoPandas is an open source project to make working with geospatial data in python easier. GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types.