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and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital
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challenges in urban development. You will explore exciting areas such as applying machine learning models to analyze urban mobility patterns, identifying gaps in transport accessibility, and supporting
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machine learning models against intentional interference related to adversarial attacks. Design, optimize, and implement anti-jamming in UAV communication systems. The successful candidate will work under
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courses on Space Robotics Support Lab activities and experiments For further information, please contact us at Your profile PhD in Robotics and/or Artificial Intelligence with a focus on Machine Learning