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Natural Resources Institute Finland (Luke) is hiring a postdoctoral researcher for the Digital Twin of Boreal Forest Structure project, focusing on developing machine learning methods for large-scale, tree-level forest mapping using remote sensing data for biodiversity.
Linköping University is seeking a PhD student to research sustainable and resource-efficient machine learning, focusing on methodologies to reduce computational, energy, and storage demands, and associated carbon emissions, while maintaining model quality.
The University of Copenhagen is offering a fully-funded PhD fellowship at its Department of Computer Science, focusing on developing novel machine learning methods to model greenhouse gas fluxes from wetlands using remote sensing and ground-level measurements for climate ch...