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Division of NORCE Norwegian Research Centre there is a 3-year full time PhD research fellow position available within the field of modeling and simulation of CO2 storage. The position is for a fixed-term
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characterize forest structure. Remote sensing data, such as images, lidar, and photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development
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will focus on integration of the extensive amount of data collected by forest machines with remote sensing data to further characterize forest structure. Remote sensing data, such as images, lidar, and
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mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is
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leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is associated with the third cluster of the centre
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seasonal emissions such as winter CH4 emissions, using AI tools to develop upscaling tools or upscale to circumpolar region, or using climate modeling such as the Norwegian Earth System Model to constrain
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LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship
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leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This fellowship is associated with the third cluster of the centre
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approach of data-driven membrane discovery that includes material space construction and exploration, candidate selection and verification, providing data for machine learning models to optimise membrane
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the Section for Ethics and Health Economics (ETØK). The position is part of the project “Strengthening health and disease modelling for public health decision making”, funded by the Wellcome Trust. The project