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and environmental conditions. Candidates should have a strong publication record in mobile robotics. A strong focus on sensing and control systems, demonstrated through hardware-validated experiments
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Robotics, Controls, AI, Computer Vision, and Hardware Security The Control/Robotics Research Laboratory at NYU invites qualified applicants with a doctorate degree in the areas of electrical, or computer, or
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 9 hours ago
hazards. Some specific examples include, but are not limited to: Precipitating electron and ion fluxes within the auroral regions that can cause x-ray exposure upon impacting astronauts or hardware
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into closed-loop control frameworks Test and validate control algorithms through simulation, hardware-in-the-loop testing, and/or physical testbeds Apply machine learning techniques to predict thermal system
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possible. We are developing mechanical intelligence as applied to aerial robotics. The focus will be on hardware development and experimental validation up to and including flight testing. Candidates should
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of both hardware and software tools for operando characterization under electrochemical conditions, as well as the management and analysis of large experimental datasets. The successful candidate will
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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system stability. Candidate will also develop robust control strategies for inverter-based resources, and conduct hardware experiments and hardware-in-the-loop testing to validate the control algorithms
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communication Ability to work effectively as part of an interdisciplinary team Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork Additional Information While these are not
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optimization across quantum and classical computing resources. Conduct hardware-software and application-system co-design by considering interactions among quantum hardware characteristics, HPC architectures