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design using advanced CMOS technologies, along with a solid background in analog and digital signal processing systems. Comprehensive understanding of the entire IC design flow, including circuit design
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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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Imagine a world where food production is in harmony with natural processes, farmers nurture healthy soils, and biodiversity thrives. In contrast, current monoculture farming systems undermine
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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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., which may be delivered in other digital formats. Regarding the documents mentioned in point III.2.4., as an alternative to delivering a copy, the CV can also indicate the unique digital identifier
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engineering (or a closely related field), with a solid foundation in mathematics (e.g., matrix algebra) and coursework in areas such as digital signal processing, sound processing, and machine learning
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between radiative, climatic, and morphological processes. The DITEN laboratory of UniGe brings complementary expertise in signal processing, remote sensing, pattern recognition, and energy systems
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apply.uc.pt, to submit their application, selecting the procedure to which they intend to apply. The documents inserted in the application are exclusively in digital portable document format (pdf), with
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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