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Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided Overview Edge artificial intelligence (Edge AI) enables deploying AI algorithms and models directly on edge devices. However, AI...
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letter of offer for the program if all conditions have been satisfied. About the scholarship Project details The project investigates distributed and edge intelligence for smart grids with distributed
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for Languages) essential Strong programming skills in scientific computing languages (e.g. Python, C++) Solid knowledge of microgrid concepts and distribution network operation Knowledge of electric vehicle
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, in which you may work with one or several components, include user-friendly sensor systems for monitoring health data, reliable measurement of health data and data communication in distributed
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Chemistry, Biological Oceanography, Marine Geosciences and Marine Observations work on an interdisciplinary basis in a joint research program. The Leibniz Institute for Baltic Sea Research Warnemünde has a
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related field strong background in distributed systems, real-time computing, or networked control systems knowledge of UAV systems, swarm coordination, or digital twin frameworks experience with programming
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) at Trinity College Dublin is seeking a PhD student to explore the influence of topology in designing & operation of distributed quantum networks. The candidate will be part of the Marie Skłodowska-Curie Action
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The project: The domain of High Performance Computing (HPC) effectively utilises massively multicore computers that facilitate the distribution of scientific workloads across thousands of compute
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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map data to enable real-time operation on bandwidth- and computation-constrained platforms optimize the distribution of computation between onboard, edge, and cloud instances to balance latency