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edge data processing methods for mobile MRI scanners and testing in clinical enviroment. Required knowledge Excellent programming, image processing, optimisation background Affinity to work across
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efficient and interpretable image processing, vision-based perception and planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally
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efficient and interpretable image processing, vision-based perception and planning modules to accurately predict driving trajectories and controls for high-fidelity autonomous driving. Additionally
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, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing optimisation Large-scale data processing Intelligent and educational analytics
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understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical inference and machine learning to develop subject specific mathematical models of
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understood. This project works at the intersection of dynamical modelling, statistical signal processing, statistical inference and machine learning to develop subject specific mathematical models of
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, scalability, and solution quality for tasks such as: Similarity search and nearest-neighbour queries Graph and routing optimisation Large-scale data processing Intelligent and educational analytics
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; Haffari, Reza; Qi, Guilin. Few-shot Complex Knowledge Bases Question Answering via Meta Reinforcement Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20) . Hua, Yuncheng
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range of topic and contextual domains. Moreover, such language processing must deal with slang, foreign words and passages, localised dialects, unpredictably constructed language, and linguistic
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; Haffari, Reza; Qi, Guilin. Few-shot Complex Knowledge Bases Question Answering via Meta Reinforcement Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20) . Hua, Yuncheng