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embodied/physical AI systems, including robots, autonomous vehicles, and drones, develop rich frameworks to interact with the world in real time? This is the main underlying theme to be explored within
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require extensive manual reprogramming each time a new part or variant is introduced, which limits scalability and slows deployment in real-world production settings. The Connected and Intelligent
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Postdoctoral Researcher in artificial intelligence and machine learning (AI/ML) for advanced tuning and diagnosis of particle accelerators. The Accelerator Operations and Physics (AOP) Group of the
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Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences（CAS) | R P Agraharam, Andhra Pradesh | India | about 24 hours ago
Systems; Cloud-Edge Collaborative Artificial Intelligence; Embodied Artificial Intelligence Robots; Intelligent Pharmaceuticals; Carbon Neutrality and Energy Technologies; Scientific Instruments; Deep-sea
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Postdoc position in AI and Machine Learning for Electromobility Reference number REF 2026-0337 Do you want to contribute to the future of AI-driven electric transport systems? Join our research group
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, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the
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, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the
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responsible way. The position will be embedded in the Human Media Interaction group at the University of Twente and will contribute to the Hybrid Intelligence Centre . You will work in an
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, medical imaging, real-time sensing, and intelligent control into a unified system, this technology establishes a new paradigm for precision neurotherapeutics and opens new opportunities for treating
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-generation, data-driven manufacturing systems that integrate artificial intelligence, real-time sensing, and digital twins to transform how critical components are designed, produced, and qualified. The