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methods in forestry generate vast quantities of data and demand more accurate information. Machine learning allows for the systematization and processing of this data into new forms of information
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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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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 ), a center for
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accurate information. Machine learning allows for the systematization and processing of this data into new forms of information to support the management of forest resources and ecosystems. The PhD candidate
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28 Oct 2025 Job Information Organisation/Company Norwegian University of Life Sciences (NMBU) Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD
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distribution modelling Experience with spatial analysis and mapping tools (e.g., QGIS, ArcGIS, or spatial packages in R/Python) Interest or experience in applying AI or machine learning methods to ecological