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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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computer vision models for forest-based 3D point cloud data. In recent years, large advances have been made for deep learning algorithms for high-resolution point clouds from small geographic areas. We seek
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candidate to support our work on deep learning for high-resolution point clouds. The position is a 3 years position and is affiliated with the Department for Forest operations and Digitalization, within
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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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continuously and precisely sense and process molecular signals among infectious bacteria colonies for diagnosis. The receiver development will consider novel design principles combining approaches in biosensors
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provide insights into developing a receiver system that can continuously and precisely sense and process molecular signals among infectious bacteria colonies for diagnosis. The receiver development will
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable to load
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for a further career in higher education and research, in and outside academia. In today’s digital world, extremely large amounts of content overwhelms users, and it becomes a challenge for the end
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(MINA) at Norwegian University of Life Sciences (NMBU) has a vacant three-year PhD–position related to use of AI for mapping of forest ecosystems. Increased digitalization and the use of new sensors and
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-year PhD–position related to use of AI for mapping of forest ecosystems. Increased digitalization and the use of new sensors and methods in forestry generate vast quantities of data and demand more