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safety and quantify drivers' comfort zone boundaries. This multidisciplinary research at the intersection of behavior, engineering, and AI aims to provide the automotive industry with tools to make AVs
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from automated vehicles (AVs), they must be both safe and appreciated by drivers. This project uses modeling (e.g., AI/machine learning) and human behavior data to predict perceived safety and quantify
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The position gives a unique opportunity for cutting-edge research in multi-layer network security. The project focuses on enabling resilience, security and reliability of upper-layer network
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Advance Earth Observation with 6G Satellites! Join our cutting-edge research at the intersection of satellite communication, signal processing, and Earth observation. As a PhD student, you'll help
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programming, formal methods and information security. Project Background and Description We are seeking a postdoc to help develop a language for expressing the microwave pulse schedules that are sent as input
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demand for higher capacity and improved energy efficiency in future wireless communication systems. As part of this effort, we are developing innovative wideband, linear, and energy-efficient circuit
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postdocs. Research areas include wireless communication, optical communication, coding theory, information theory, and machine learning. We value diversity and believe that a mix of backgrounds and
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vehicle actuators may be partially or fully degraded. You will contribute to both theoretical developments and applied solutions, with a strong emphasis on safety, interpretability, and real-time
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Are you passionate about advancing the safety and reliability of learning-enabled systems? Join the Group for Safe and Trustworthy Autonomous Reasoning (STAR) to lead cutting-edge research in
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Join a research team working on next-generation multimodal AI models for real-world use in healthcare, automotive, and other safety-critical domains. The position offers hands-on work with deep