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Postdoc: Weakly supervised ML-based Earth observation for climate extreme impact quantification
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RISE will soon be recruiting a postdoc for the Climes center to develop an advanced Earth observation (EO) machine learning (ML) framework for quantifying the impacts of climate extremes. Early expressions of interest are welcome!
Doctoral student (licentiate) in Artificial Intelligence for Earth Observation
Published:
KTH Royal Institute of Technology is seeking a Doctoral student (licentiate) for advancing AI-driven Earth Observation methods applied to environmental intelligence, including wildfire emissions and pollution assessment.
Doctoral Researcher, Atmospheric Sciences
Published:
University of Helsinki is recruiting a Doctoral Researcher for exploring how artificial intelligence can create faster, more efficient, and trustworthy weather and climate forecasting tools within the AI-Dream project.
1–2 postdoctoral researcher or doctoral researcher positions in Geospatial AI, Explainable AI, and Machine Learning for Large-Scale Environmental Modelling
Published:
University of Turku is hiring 1-2 postdoctoral or doctoral researchers for developing advanced machine learning and generative AI methods to build digital twins for environmental ecosystems.