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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
: 304827 Vacancy ID: PDS004622 Position Summary/Description: The position will involve substantial analysis of remotely sensed imagery, including data from SWOT itself and possibly also from other sensors
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are searching for motivated and talented Signal Processing Research and Development Engineers to join our Sensor Analysis and Data Modeling (SADM) Department at the Applied Research Laboratory (ARL) at Penn State
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aims to define the optimal specifications for spaceborne hyperspectral sensors to detect diseases in Australia’s key wheat and barley crops. The successful candidate will lead the development and
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with mid-frequency active sonar or underwater sensor systems. Proficiency with scientific programming and visualization tools (e.g., MATLAB, NumPy, Matplotlib) for data analysis, algorithm development
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We are seeking outstanding candidate for a Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting immediately. We are seeking a highly
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are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
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. This includes electro-optical systems, imaging systems, and a broad range of sensors. Collaborating with scientists and engineering teams to execute the full development lifecycle, from scope definition
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Do you have significant experience with algorithms for interval path planning, and are you motivated to bring these closer to the railway industry? Then this position is for you! Job description The
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University's Department of Computer Science. Supported by significant funding, Profs. Himanshu Gupta and CR Ramakrishnan conduct research in the general area of quantum networks, quantum sensor networks, and
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-physiology and the development and application of remote sensing algorithms is highly essential. The candidate should be proficient in working with data from a range of satellite sensors, with particular