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), Machine Learning on Quantum Computers, Security of Quantum Circuits, Design Automation and Tools for Quantum Circuits, Robust and Efficient Mapping of Quantum Algorithms on Quantum Machines, Quantum Noise
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and Uncrewed Ground Vehicles (UGVs) and integrate within the on-board computer sensors and actuators. This position will enhance the operational capabilities of the developed UAVs and UGVs so that
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effects in economic decision-making, and other topics related to development and macroeconomic behavior. Many of these studies involve the collection of data using computational algorithms and analysis
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. The candidate will develop DRL algorithms for online and off-line tasks, for robotic applications and possibly for LLM reasoning applications in the future. The work will involve designing algorithms, running
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motivated Post-Doctoral Associate to join our team with a strong background in robot control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance
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control, machine learning, and differential geometry to work on the development of advanced algorithms to enhance the safety and robustness of human-robot interaction. The successful applicant will engage
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design, development, and validation of material, control systems, and algorithms for next-generation soft haptic actuators and experiences. Note that the research involves significant interactions with
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web and mobile development (e.g., HTML, JavaScript, React) Experience with Internet-of-Things (IoT), especially air quality sensor networks Data analysis and visualization skills (Python, R, Google
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others (but not limited to): Computer Organization and Architecture, Data Structures and Algorithms, Computer Programming for Engineers, Object Oriented Programming, Digital Logic and Advanced Digital
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Research scientists, graduate students, and undergraduate students. Applicants should have experience in developing and characterizing sensors, structural health monitoring systems, and self-healing