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Field
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developing new methods and techniques that will improve standard ML algorithms so as to achieve good performance outside their training distribution, by treating high-dimensional problems as an explicit
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individually, make a real difference. The role To research and develop software modules, tools and API for a project that aims to create a secure decentralised data marketplace based on distributed ledger
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, including: asymptotic enumeration of (hyper)graphs with highly irregular degrees; distribution of small subgraphs in random (hyper)graphs with highly irregular degrees, and extensions of these considerations
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, the post-doctoral fellow will consider designing distributed learning algorithms for streaming manifold-valued data. Experiments will be carried out on urban, coastal, and underwater DAS data. The novelty
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(Preferred) Stay informed about video marketing trends and experiment with new techniques to improve engagement Optimise video content for search engines and social media algorithms to maximise reach Manage
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of fairness, safety, and privacy in digital technologies. Key Responsibilities: Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working
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include but are not limited to: programming, algorithms, software development, communications and protocols, distributed systems, databases, mobile applications, operating systems, cloud computing, web
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frameworks, as they impose minimal, if any, assumptions about the underlying data distribution, making them more effective for detecting a wide range of changes. The CPD algorithms will be designed
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healthcare application needs to analyze sensitive patient data across distributed nodes. Researchers and students can explore privacy-preserving algorithms and technologies like federated learning and zero
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and its implementation in distributed systems. Main responsibilities: Research, develop, and optimise machine learning algorithms, including deep learning, for AV control and coordination. Apply multi