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and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and
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advance machine learning and natural language processing (NLP) methods to analyse complex information manipulation, legal responses, and opposition actors across critical domains such as election integrity
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and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal
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evidence to support the evaluation of AI and machine learning models. This may include investigating data-centric AI strategies, such as data quality assessment, annotation refinement, dataset curation, and
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-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and decentralised AI pipelines Formal security analysis
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Python programming experience in machine learning and natural language processing ecosystems Essential Application/Interview Good expertise in basic statistics. Essential Application/Interview Familiarity
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responding to insurance and travel related queries. Case handle travel, motor, computer and boat claims. Providing claims process information, gathering and disseminating information from those involved and
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, implementation and evaluation of bio-inspired, optimisation-based and machine-learning-enabled methods that enable robot teams to operate under constraints on communication, sensing, computation and power. Develop
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. Lead the design, implementation and evaluation of bio-inspired, optimisation-based and machine-learning-enabled methods that enable robot teams to operate under constraints on communication, sensing
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-learning individual with strong transferable research skills to join our Subtractive Process team at the Advanced Manufacturing Research Centre (AMRC), as a Project Engineer. You'll be instrumental in