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Field
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optical depth recovery and high-precision 3D sensing; event-based vision for low-latency, high-dynamic-range perception with reduced data rates; RF sensing and localisation, spanning radar-style observables
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and radar sensing convergence” (DisCouRSe). Who we are looking for The following requirements are mandatory: A doctoral degree in Electrical Engineering, Engineering Physics, Applied Mathematics
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inspection. Design and use of UAS for measurements using radar as well as other sensing modalities (e.g., lidar, optical/IR, atmospheric or environmental sensors). Design of adaptive UAS with dynamic response
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responsibility is to assist the lead air traffic control instructors with air traffic control lab-based courses that may include non-radar simulation, enroute radar simulation, and/or TRACON simulation
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and service. Additional information about the department can be found at http://cnr.ncsu.edu/fer. The College of Natural Resources (CNR) at North Carolina State University is a world leader in the
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underground utility lines including gas, water, electricity, and telecommunications. The position employs various locating techniques such as electromagnetic locators, ground-penetrating radar (GPR), and
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reporting tools (SlicerDicer, Reporting Workbench, Radar Dashboards) Strong, applied experience with Epic data and reporting for medium to large scale projects is desired Complete and demonstrable
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position This PhD project is connected to FME NorthWind (https
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educational mission at OU. OU is continuing to expand its internationally known radar program in collaboration with its School of ECE. The Advanced Radar Research Center (ARRC, http://arrc.ou.edu ), which
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cookie and refresh page to watch video, or click here to open video) About the position This PhD project is connected to FME NorthWind (https://www.northwindresearch.no/ ), a Norwegian national research