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Field
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their different sensors for decision making. Humans will be able to seamlessly instruct these robots or directly collaborate with one or a team of robots. The fellow will have the opportunity to advise individuals
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 1 month ago
the combination of socioeconomic data and geospatial information. Experience with the calibration and deployment of low-cost sensors is preferred. Occasional travel may be necessary. Field of Science: Earth
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, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications. Familiarity with robotics concepts such as SLAM, sensor fusion, visual odometry
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Research scientists, graduate students, and undergraduate students. Applicants should have experience in developing and characterizing sensors, structural health monitoring systems, and self-healing
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. A typical candidate will have experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor development, robotics control
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor
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disciplines within nanophotonics, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and
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precipitation, temperature, and soil moisture by leveraging large multi-source datasets from remote sensing, IoT sensors, and climate models. Design and implement deep learning models for forecasting extreme
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sensor networks, robotics, energy, and Smart Cities • Network systems and economics, cooperative control and optimization, game theory • Distributed algorithms for decision making • Machine learning and
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sensors Familiarity designing, building, and working with new instrumentation and devices to study balance responses A track record of journal publications and/or demonstrated interest in neuromuscular