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Natural Language Processing and Understanding Text mining and information extraction Machine learning Document Intelligence Background in any of the following topics: Financial Technologies Regulatory
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and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection, transaction classification, and
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activities across these decentralised and increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project
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group. We seek a candidate with expertise and/or interest in the following relevant fields: machine learning and cybersecurity. The candidate will the opportunity to work on a CORE project funded by
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy
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digital technologies and dependable grids are integrated. The application of machine learning and data analytics to innovative electrical power quality technologies and to reliable and efficient energy
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to optimization problems with possible topics covering: Variational quantum algorithms for optimization Quantum annealing Quantum inspired optimization Quantum machine learning with a special emphasis on classical
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, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction
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. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing