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and Artificial Intelligence, within the Climate & Sustainability research theme. This role is part of a national Centre, Rinn Artificial Intelligence – Research & Innovation in Data Science and AI, a
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the UCD School of Mathematics and Statistics. The successful candidate will lead research focused on developing a scalable, AI-driven quality control (QC) system for synoptic and climate observation data
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-environment-climate public goods (AECPG). By combining insights from results-based, collective and spatially targeted schemes with novel financing and robust monitoring, REWARD seeks to build scalable models
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Potsdam Institute for Climate Impact Research, and the Technical University of Berlin. The broad concept of the project is that currently available energy modeling systems are unable to simultaneously