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Field
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interference. Identify and minimize coupling of these environmental disturbances into detector systems. Evaluate optimal sensor placements and perform coupling measurements before and during each observation run
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campus of ARL focused on developing the most advanced navigation technologies in the world, built around unique laboratories specially designed to test the most precise navigation sensors and systems
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, precision, and adaptability in dynamic environments, including navigation in complex spaces. - Perception and Sensing: Leveraging diverse sensors and advanced perception techniques to interpret and interact
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capabilities for precise characterisation of nuclear environments through leveraging robotics technologies. This will be achieved by developing a modular swabbing puck equipped with advanced tactile sensors
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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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and deploying UAV simulation environments using AirSim or its derivatives. Designing and implementing navigation, planning, and obstacle avoidance algorithms using ROS2. Conducting simulation studies
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navigation technologies in the world, built around unique laboratories specially designed to test the most precise navigation sensors and systems. The mission of the NRDD is to conduct new navigation
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 3 months ago
intercalibration with other on-orbit reflected solar sensors, and characterization of other intercalibration targets (e.g. pseudo-invariant land sites, the Moon). With its high accuracy, spectral range (350 - 2300
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life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form
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development pertaining to chemical and biological detection. You will gain experience with algorithms, data analysis, Deep Learning, Python, pytorch and /or tensorflow, NLP, genetic algorithm, computer vision