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with deep learning and 3D point clouds Apply for this job See advertisement About the position The Faculty of Environmental Sciences and Natural Resources Management (MINA) at Norwegian University
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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
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acquisitions and global coverage but cloud cover—common in mountainous terrain—often obscures the ground. The Automated Landslide Detection Index (ALDI ) uses optical timeseries to map landslides with promising
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system stems from the need to increase efficiency in marine monitoring. Furthermore, existing computer vision solutions often depend on cloud computing infrastructure and require specialized expertise. A
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), develop AI-ready features and pattern discovery tools, and contribute to end-user solutions such as risk maps and early-warning systems. You’ll also get hands-on experience with modern cloud-native
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results. You will join the Section for renewable energy and forest sciences and conduct cutting‑edge research using remotely sensed point‑cloud and image data to map forests. The position is part of two
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privacy standards. As part of the ProtAIomics MSCA Doctoral Network, you will collaborate with top proteomics research scientist and participate in multiple trainings and summer schools. At DTU you will
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multiple national and international collaborators including the World Health Organisation and high-profile universities in Europe, the US and Australia. We provide an inspiring and supporting environment
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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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photogrammetric point clouds acquired from drones, aircraft, and satellites, will play a central role in the development of the methodology. The use of new methods and new technology is a key component of the