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to design an RF-based sensing and localization approach relying mainly on low-cost RF tags embedded within the robotic swarm. These tags will enable relative positioning, proximity detection, and
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of 5-8 years of applied experience in perception, sensor fusion, and edge AI. Hardware Deployment: A proven track record of shipping real-time, compute-heavy systems on edge or embedded hardware, with
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software security. A particular focus of the position is low-level kernel development in embedded systems equipped with a CPU that does not integrate a memory management unit (noMMU scenarios
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sensitive healthcare settings. While next-generation healthcare is the primary focus, the framework will be designed to be modular and adaptable, making it broadly applicable to other real-time embedded AI
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integration components in iterative cycles. The goal is to provide a unified data experience across all platforms, ensuring that security measures and data protection regulations are embedded within the core
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. This position fosters partnerships between the UWCC and the UW Seattle campus, including liaison and embedded programs and campus-wide mental health outreach efforts. The AD for Campus Partnerships supervises
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Embedded Confidential Advisor and will be cross placed two days a week at a satellite location. Duties & Responsibilities Advocacy and Support Service Coordination Provides and coordinates trauma-informed
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future networks (5G/6G), o embedded systems and IoT, o interdisciplinary research topics. Work Plan The PhD work will be structured around four main phases: Analysis and Modeling o analysis of use cases, o
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 7 days ago
platforms for mechatronic systems, based on embedded-edge architectures with possible cloud integration and advanced power electronics devices. - Advanced modeling and simulation for mechatronic, robotic, and
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on established UK and international community activity. The network will: Connect AI, hardware, embedded systems, and edge AI researchers across the UK Build strong links with industry and global TinyML leaders