"How to do machine learning efficiently". There's so much to love about this wonderful article. medium.com/hackernoon/doi…

Interesting concept for easy-to-grasp scientific posters: "classic" layout left, main message middle, backup figures / tables on the right side. #betterposter

Great talk Pierre Gentine, thanks for sharing!

Apply for one of the many IMPRS PhD projects before the 6th of September if you are interested in doing a PhD (bgc-jena.mpg.de/domains/imprs-…)!

We combined #NeuralNetworks and process modeling to learn global #water cycle variations. This is a first step toward #hybrid modeling of large-scale #environmental systems. ISPRS paper in colab with M. Jung, M. Körner, and Markus Reichstein now online: doi.org/10.5194/isprs-…

Read @Teddykoker’s #blog on #DataLoaders Explained: Building a Multi-Process Data Loader from Scratch. ⭐️Bonus⭐️ You can use #PyTorchLightning to train your models after loading your #data. teddykoker.com/2020/12/datalo…

🇬🇧 We have a #joboffer for a data scientist to contribute to the FLUXCOM initiative. 📍 Apply by June 30: bgc-jena.mpg.de/www/uploads/Ca… 🇩🇪 Stellenausschreibung für einen Datenwissenschaftler in der FLUXCOM Initiative. 📍 Bewerbungsschluss: 30.06.: bgc-jena.mpg.de/www/uploads/Ca…

Remote Sensing Job Alert: 🚨🌍🛰️🖥️ At the Max Planck Institute for Biogeochemistry, we are looking for a someone to help us bring in the #Copernicus #Sentinels (S2, S3, S5P) into #FLUXCOM fluxcom.org The call is still open until the end of June: bit.ly/3ieplGd

At the Max Planck Institute for Biogeochemistry, we are looking for a PhD researcher to model #FLUXNET ecosystem-atmosphere fluxes using #deeplearning and heterogeneous Earth observation data. The call is open until August 23. imprs-gbgc.de/applications/i…

Just realize that our book "Deep Learning for the Earth Sciences" by Gustau Camps-Valls ISP • Image and Signal Processing , devistuia, Xiaoxiang ZHU & Markus Reichstein, with 80+ top researchers & foreword by Vipin Kumar, is "really" out!! onlinelibrary.wiley.com/doi/book/10.10….

Thanks for having me as a guest on your team devistuia et al.! My first impressions: very friendly and nice people, and great mountains!

We offer a PhD position at Max Planck Institute for Biogeochemistry in collaboration with TU München on hybrid modeling (combining deep learning and physical modeling) of the coupled carbon-water cycles. The call is open until the end of September. Please share! tinyurl.com/5aysun5m

Gridded climate data be like

Yes! We're welcoming theory & applications of #MachineLearning in #climate: from #XAI & #hybridML to #causality in the wild. Dr Kasia Tokarska de los Santos Marlene Kretschmer @DWatsonParris ISP • Image and Signal Processing RT vastly; the more the merrier! :)

Job opportunity! Come work with me and Benjamin Kellenberger at EPFL in beautiful Sion and study how to map species and their interactions at scale with #DeepLearning ! Two phd positions available, info here epfl.ch/about/working/… Schweizerischer Nationalfonds (SNF) EPFL-ENAC

Our paper on combining neural nets and hydrological modeling is out. We used RNNs to estimate time-varying coefficients of a hydrol. module, resulting in a data-driven yet physically consistent model Markus Reichstein @SujanKoiralaNP M. Jung & M. Körner hess.copernicus.org/articles/26/15…

There’s a reproducibility crisis brewing in almost every scientific field that has adopted machine learning. On July 28, we’re hosting an online workshop featuring a slate of expert speakers to help you diagnose and fix these problems in your own research: sites.google.com/princeton.edu/…

I'm excited to be part of the convener team for the next year's "Deep Learning in Hydrology" session at #EGU23 Hope to see many interesting submissions!

FLUXCOM is hiring! As we work with remote sensing data, machine learning models, and ecosystem understanding, we're happy to hear from all backgrounds. In the end, it is a great, tight knit team, so come join!