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Field
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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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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 5 hours ago
-based instrumentation, such as those managed by AERONET (AErosol RObotic NETwork). AERONET is comprised of sun photometers and radiometers that retrieve the atmospheric state by accurately measuring
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internationally recognized research institute within the Faculty of Engineering, known for its contributions to software engineering, robotics, and artificial intelligence. The Software Engineering section
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recombinant proteins and antibodies. Use of specialized equipment such as FPLC, crystallization robots, and cryo-EM sample preparation instruments. Adherence to safety protocols for handling biological and
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, robot-human interaction, trustworthy AI, explainable AI, large language models, quantum computing.
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, for example in human and robotic exploration vehicles (orbiters and landers) and space transportation systems (launchers, re-entry vehicles and space tugs), as well as orbital systems for in-orbit servicing
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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interactive multinational and multidisciplinary teamcovering expertise in molecular biology, cell biology, neuroscience, regeneration biology, mathematical modelling, and robotics. The fundamental questions
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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autonomy. The PRA will also be involved in research related to 2D semiconductors, polymers, and materials packaging in Human-Robot collaborative settings. This position provides an excellent training