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required to meet the following qualification criteria: hold a doctoral degree in Mechanical Engineering; professional experience in teaching is preferred; have a communicative command of English; declare a
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excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 days ago
they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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, broadly interpreted. This spans intelligent infrastructure and adaptive construction/manufacturing robotics using digital twins and multi-agent controls; embodied and wearable AI systems that bridge human
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information about our research group can be found at: https://autonomousrobots.nl/ Job requirements We are looking for a candidate with: A PhD degree in Robotics, Control, Aerospace Engineering, Mechanical
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. There are 10 endoscopic rooms, 2 laminar flow rooms, 2 DaVinci Robotic rooms and a dedicated endovascular room. It is a fast-paced environment performing state of the art procedures with state-of-the-art
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realistic outdoor conditions. The PostDoc research will naturally fit into our several activities over the last years about the general problems of shared control of robots and control/estimation for multi
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of electromagnetic tracking for adaptive Jacobian control or student group project work. Introduce and manage HPC & Containerization. Build and maintain containerized workflows using both Docker and Apptainer across
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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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This multidisciplinary thesis requires strong expertise in several of the following areas: Robotics, computer vision, control systems, dynamic modeling, signal processing, or machine learning