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Field
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inference. The role will bridge rigorous theoretical work with hands-on algorithm design and development on real-world datasets. The core responsibility is to build and validate federated causal inference
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will be on the development of signal processing and machine learning algorithms and implementation of them in a USRP-based communication system. In particular, the Research Associate will be expected
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downscaling algorithms scoping algorithm integration into analytical workflows writing up findings for presentations and possible publication disseminating findings to key stakeholders maintaining information
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systems are particularly challenging: even well-synchronised programs and algorithms satisfying established correctness criteria such as linearisability may remain vulnerable to security attacks. COVERT
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. The role would involve optimizing an artificial touch sensor for use in detecting defects during composite layup, as well as developing algorithms and visualization tools to demonstrate its performance
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-robot testing. Work could involve new algorithms, reasoning pipelines, foundation model evaluation, benchmarks, platform integration and practical deployment limits. It suits candidates interested in
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-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel algorithms for: Fine-grained video understanding Concept learning Temporal
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algorithms for automated driving. You could also develop your own research portfolio by supervising MSc individual research projects aligned with the Centre’s research themes. You will be expected
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, Times Higher Education ranking). We have very strong research groups in the areas of Intelligent Systems, Machine Learning, Algorithms and Complexity, and Programming Languages and Systems. We have also
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industry partners and innovators. Our focus is on software, application, algorithm, design, architecture and use cases, and not on hardware development. The role provides an opportunity to both investigate