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that seamlessly integrate devices on ground, air, and space. This project aims to contribute to a flexible architecture based on O-RAN that leverages digital twins for the on-the-fly adaptation of large-scale 3D
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peatland systems. This project will combine computational and experimental approaches, leveraging the large-scale Microflora Danica dataset combined with samples taken from sites undergoing restoration. You
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shall be assessed at regular points in time. Who we are The energy transition poses fundamental challenges for our power grids: large conventional power plants with synchronous generators are successively
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neural networks are large black boxes, we need both automatic methods to analyze such systems and human-interpretable certificates of the analysis results. We will devise automatic and sound methods
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language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing