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across a wide range of diverse and cutting-edge fields. Opportunities exist within our well-funded research areas such as AI, Intelligent Secure Systems, Intelligent Manufacturing and Robotics
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collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields, including robotic control, fluid mechanics and
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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. Join our cutting-edge research program, spearheaded by Prof. Tamar Makin, as we delve into the fascinating realms of motor control, neural representation of the human body, and robotic body augmentation
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and Engineering Dynamics and Controls Systems Energy and Climate Fluid Mechanics Lasers and Applied Physics Materials and Mechanical Systems Robotics Princeton University is an Equal Opportunity
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. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http
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. The application areas include smart energy systems, mechatronic systems, robotic systems, as well as, multi-agent autonomous systems. For more information about the DTPA group please use the following link: http
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candidates with one or more of the following experiences: Human-Centered Applications: Familiarity applying ML in areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior