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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 20 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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on the ground from aircraft pose and map data; visualization of results. Onboard software and integration: Deploying algorithms to embedded compute on the aircraft; interfaces to the flight stack, sensors, and
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bring-up, debugging, and validation Integration of sensors, microcontrollers, FPGAs, SoCs, and embedded processors Embedded programming in C/C++ Real-time signal processing and embedded perception, hardware
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future of smart agriculture. II. Positions and Requirements A. Young Scientists: 5 Positions Research Area 1: Scientist in Bio-breeding Algorithms Develop intelligent decision-making algorithms and models
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sensor data associated with the guidance and control of underwater vehicles and platforms. Applications include, for example, detection, classification, localization and tracking for antisubmarine warfare
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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unsupervised machine learning algorithms, feature extraction, classification methods, etc. Rigorous experience in Python, C++, and MATLAB Knowledge of deep learning and big data Good understanding of probability
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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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Description The Universidad Carlos III de Madrid invites applications for a full-time technical research support position within the project DISCO6G-CM – Development and Integration of Sensors and
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the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis