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support critical integration tasking on new undersea systems using sensor technologies alongside embedded computers running Linux-based operating systems. Responsibilities Software Development Lead: Work
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. As part of the MSS Division, you will support our mission by focusing on nascent technologies in the areas of electromagnetics, electromagnetic maneuver warfare, quantum sciences, and sensors through
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data acquisition. Hands on experience with design and installation of testing fixtures, application and selection of sensor suites, selection and operation of excitation methods with data acquisition
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. The postdoc will develop machine learning algorithms to analyze phenotype and sequence data, as well as active learning algorithms to optimize and control experiments in directed evolution. This position
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Collaborate with students to translate research algorithms into working implementations. Lab Operations & Equipment Management (20%) Maintain and manage lab equipment inventory, including drones, sensors, 3D
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 14 days ago
. Recent updates to QFED include integration of fire products from new sensors (VIIRS), and a new multispectral approach for retrieving fire radiative power (FRP) for two phases of burning: flaming and
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workflow driven by a Bayesian optimization engine — translating algorithmic experimental directives into machine actions and returning structured results to the decision-making system. Responsibilities
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to research, develop, and evaluate algorithms for a variety of geospatial, signal, and/or image processing applications. The successful candidate will have a solid background in computer science with strong
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multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members
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intelligence. You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision