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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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(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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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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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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, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also developing custom Python-based
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generation unit, imaging lenses, scanning system, and signal detection within a multi-beam framework. For this purpose, you will use commercial simulation software tools such as EOD and GPT, while also
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Norwegian language courses if you do not have proficiency in Norwegian, Swedish, or Danish at level A2 at the time of employment. access to Lifekeys , a digital service for the preservation of personal
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Engineering with excellent grades. Knowledge of Digital/Mixed-Signal Integrated Circuit (IC) design and Computer Architecture. Solid skills in HDL (Verilog, VHDL) and scripting languages (Python, TCL
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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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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