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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
include (but are not limited to): Develop algorithms to characterize aerosol speciation from LIDAR fluorescence signals Develop machine learning emulators to represent forward operators for polarimeter-only
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of physical systems and associated applications software. Applications include detection and tracking systems, sensor fusion, signal processing, and uncertainty quantification. Clients include U.S
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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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materials, sensor components, and system prototypes. Conduct electrochemical impedance spectroscopy (EIS), cyclic voltammetry, and power density measurements. Lead data acquisition, signal processing, and
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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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algorithms, and M&S of sonar array performance in complex environments. Responsibilities Implement research grade software and signal processing tools related to SONAR array processing, environmental and SONAR
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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
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control algorithms (such as adaptive control or model predictive control) to reliably maneuver Army projectiles to the target despite limited state information, control authority, and changing flight
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including clinical, algorithm, and mechanical engineering to define system requirements, sensor specifications, and patient interaction protocols. • Develop custom control and data processing software in
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requested). Essential Functions Data management Data analysis, specific in machine learning algorithms/models Required Qualifications Minimum of a Master's Degree in Computing Minimum of less than 1 year of