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artificial intelligence, data analytics engineering, cybersecurity engineering, biomedical imaging and devices, healthcare, autonomous systems, 5G/Next G communications, systems architectures, computational
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capabilities. Frontier AI is a purpose-built team that fuses scientific agentic AI, lab automation, and unified data platforms to autonomously design, run, and refine experiments—accelerating molecule discovery
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and efficient navigation systems for inspection robots, enabling autonomous localization, decision-making, motion planning and safe navigation in complex, dynamic real-world environments. The Research
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(Wallenberg AI, Autonomous Systems and Software Program), ELLIIT (Excellence center), and LiU's profile area VDF (Visual digital futures). For more information about our work, please visit our webpage: https
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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on this Research Programme is carried out by Postdoctoral Research Fellows and Senior Postdoctoral Research Fellows and is quasi-autonomous research activity. The mentoring Principal Investigator (PI) will
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Ref. 4364_All. 3 - Methods and Tools for Secure and Autonomous Brain-Inspired Cyber-Physical Systems
Research Infrastructure? No Offer Description "The research will focus on autonomous edge systems based on brain-inspired, sparse and event-driven computing, with emphasis on edge and near-sensor processing
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engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and
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of post-quantum ZKP protocols in real-world AI deployments School of Computer Science at the University of Sheffield. A leading centre for security, machine learning, robotics, and autonomous systems
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autonomous, closed-loop (“self-driving”) laboratory workflows. The role integrates catalyst synthesis, high-throughput reactor testing, and in situ/operando characterization with machine-learning and agentic