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Field
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. This project seeks to advance energy autonomy by optimising power conversion, storage, and distribution in such systems, enabling broader adoption in real-world applications. The project aims to develop a PMC
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representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics, King’s College London. They will carry out
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Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search
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collaboration to develop software that integrates advanced algorithms into experimental workflows, implement services for experiment control, and deploy AI tools alongside large-scale scientific infrastructure
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NSF funded projects, advancing the knowledge about distributed systems, developing novel algorithms for distributed resource and workload management, simulating and emulating systems, as
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distributed network of pan-tilt-zoom (PTZ) cameras connected via cellular and satellite networks, deployed in remote areas across British Columbia. You will be responsible for integrating camera hardware
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and associated algorithm definition/validation, relevant instrument simulators, quick look systems, the call for proposal system and mission planning systems; Monitoring and supporting the ESA SOC-led
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in CAPS and the Lab. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends
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, coordination, and decision-making algorithms for multiple autonomous agents—such as robots (robotic manipulators, drones, or vehicles)—that work together to achieve common goals in dynamic, uncertain
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solutions for distribution power grid with renewable energy sources Development of simulation models and integration of CPS security algorithms into hardware-in-the-loop testbed environment and conduct