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on optical transmission through falling snow and the models we have are inaccurate. By conducting experiments in Arctic weather over a longer period of time, at different geographic locations, we hope to build
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qualities required for such purposes. Digital terrain models will be used to efficiently map cultural remains under forest canopies. The second project (Mapping Natural Forests in Norway) focuses on mapping
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. For applications in the Arctic this means adapting the technology to the weather, and in particular precipitating snow. There has been very little research on optical transmission through falling snow and the models
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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
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is part of the project “Strengthening health and disease modelling for public health decision making”, funded by the Wellcome Trust. The project is being implemented by Consortium of five (5
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south of Oslo. via Unsplash Main responsibilities Development and testing of digital solutions for small forest owners. These solutions include Computer vision models and a digital assistant based on a
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designing, developing and evaluating systems and models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks
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models to enhance learning through AI technology. The PhD fellow will engage with developing and evaluating models and agents, as well as, multi-agent networks that support the human learning and improving
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to ensure that the admission requirements are met, must be uploaded as an attachment. Main tasks Develop machine learning models to produce forest information at local and landscape scales Develop machine
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no