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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
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. Develop motion-planning, task-planning, perception, control, and feedback algorithms for operation in complex laboratory environments. Integrate robotic manipulators with cameras, force/torque sensors
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transfer to the brain, translate emerging toxicological action levels and Occupational Exposure Limits (OELs) into mathematical models, and establish algorithms that determine brain risk levels based
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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of long-endurance autonomous instrument platforms through sensor integration, development of advanced shoreside and embedded control algorithms, and adaptive autonomous deployment and recovery methods
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, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and sponsors
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structures. Integrate and evaluate algorithms on robotic platforms using Robot Operating System (ROS) and sensors such as LiDAR, cameras, and other perception systems. Conduct laboratory and field experiments
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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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Working experience in algorithm design and implementation in software (e.g. C/C++, MATLAB, python, etc.) Understanding of data analysis, statistics, probability, and machine learning applied to IQ signals