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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 2 months ago
Science, the North Carolina Battery Complexity, Autonomous Vehicle and Electrification Research Center (BATT CAVE), The Charlotte Aviation Innovation and Research Institute (AIR Institute), and the
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 3 hours ago
Science, the North Carolina Battery Complexity, Autonomous Vehicle and Electrification Research Center (BATT CAVE), The Charlotte Aviation Innovation and Research Institute (AIR Institute), and the
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manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and innovation management fintech and business analytics computational
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manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and innovation management fintech and business analytics computational
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conditions, applicable for autonomous mission planning. Consider also real-time compensation of wave loads for DP vessels. General duties are: Complete the doctoral education until obtaining a doctorate, in
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grow a research group that focuses on the development of technological systems that address the pressing questions emerging in the field. This includes, but is not limited to, autonomous and adaptive AI
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+ Negative Emissions and Industrial Decarbonization + Sustainable Electronics and Computing , Power Electronics , Robotics , Smart grid and Sustainable power systems Electrical Engineering / Electronics
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Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions are full-time, continuing (tenure-track), teaching and research roles based
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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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round Details This project aims to develop a non-invasive brain-machine interface (BMI) that allows a user to direct a semi-autonomous robot to perform different tasks through brain signals