Wissenschaftsredakteurin bei @ct.de von @heise.de | PhD in #quantum physics | #ScienceSlam #WissKomm #SciComm | 🎸☕🎻📚
⚛️ https://physicus-minimus.com/
📰 https://www.heise.de/autor/Sabrina-Patsch-4633280
PhD Student at Technical University of Munich, interested in Generative Modeling and Uncertainty Quantification for Earth Observation data
https://nilsleh.info
Researcher at Inria Montpellier, France. I work on computer vision / machine learning models for biodiversity and environmental issues.
PhD candidate TUM and DLR- Floods and climate risk |Socio-hydrology | Hydro climatic |Remote sensing 🌍🛰️💧
jeremyEudaric.github.io
PostDoc @ Uni Tübingen
explainable AI, causality
gunnarkoenig.com
Assistant Professor at @EPS_UC3M @uc3m. PhD. in Multimedia and Communications. #ComputerVision #MachineLearning #ImageProcessing #RemoteSensing
(he/him) Insektenforscher und Autor | Vorsitzender vom Entomologischen Verein Krefeld | Podcast: Natur 2.0 - Der Biodiversitäts-Podcast | Biodiversität und ihr Verlust | Anfragen: info@thomas-hoerren.de
Molekularbiologe | Science Buster | www.martinmoder.at
PhD student at UFZ - interested in explainable machine learning, agriculture and food security, compound climate events 🌾
Real Science, from Real Scientists and other STEAMM Professsionals. Migrating from the other place.
This week: BlackMammalogists Week with @blackmammalogists.bsky.social https://blackmammalogists.com/
PhD - interpretability X climate science @TUBerlin @ATBPotsdam
ML Scientist for atmospheric composition forecasting at ECMWF | PhD CS | Mila | paulaharder@github.io
Tackling the worlds toughest challenges with AI & ML applied to satellite & aerial imagery
https://www.satellite-image-deep-learning.com/
Professor of Earth Observation and glaciology at University of Bristol and Technical University Munich. Open Access advocate, sports fanatic, European.
We build probabilistic #MachineLearning and #AI Tools for scientific discovery, especially in Neuroscience. Probably not posted by @jakhmack.bsky.social.
📍 @ml4science.bsky.social, Tübingen, Germany
Community-maintained simulation-based inference (SBI) toolkit in PyTorch:
• NPE, NLE & NRE
• amortized and sequential inference
• wide range of diagnostics
Posts written by @deismic.bsky.social & @janboelts.bsky.social.
🔗 https://github.com/sbi-dev/sbi
Research Group Lead for Remote Sensing at TUM (Visual Learning and Reasoning) | GeoData Engineer at openpv.de
Earth system data sciences Prof. @UniLeipzig @RSC4Earth related to @UFZ_de @iDiv @SCADS.AI, worried about climate extremes, biodiversity, the human-environment nexus and the 🌎's future in general. Editor @EnvDataScience
Assistant Professor Machine Learning & Remote Sensing at Wageningen University, NL
