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Field
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process
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at the Department of Informatics and is hosted jointly by the Network and Distributed Systems Research Group and the Robotics and Intelligent Systems Research Group. The research groups consist of around 30 full
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National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
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-mentor relationship Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, and copyrightable and potentially patentable discoveries derived from
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, algorithms and products: undertaking advanced research activities addressing major observational gaps and scientific priorities in EO. The research will cover a wide range of innovative topics and missions
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/Artificial Intelligence and their data, modelling, and operational challenges. Develop and evaluate algorithmic solutions (e.g., machine learning, optimisation, statistical modelling, distributed systems
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are continuously subject to "domain shifts" caused by fluctuating conditions, hardware degradation, or changing physical surroundings. Traditional AI models are often brittle under these distribution shifts, leading
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simulation tasks. Develop and maintain HPC-ready software workflows for distributed training, large-scale inference, scalable data ingestion, and data management on leadership-class computing systems and
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investigate the influence of trajectory accuracy on player perception and engagement within a dedicated laboratory environment. Developing distributed synchronization algorithms: we will design and implement a
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Resilient Federated Learning for Autonomous Systems under Distribution Shifts School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students Dr Inaki Esnaola