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the reliability of proposed protective measures. The emphasis can be adapted to the student's background, including machine learning, electrical interfaces, mechanical module design or control
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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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care and by working in a diverse and ever-changing environment. You will work under the direction of the Car Park Operations Leader, undertaking a wide variety of tasks based around the University Campus
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develop specialised technical skills while supporting the university's teaching, learning, and research activities through reliable and efficient IT services Main duties and responsibilities Provide
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Application/interview Good understanding of computer operating systems (Windows and Mac OS) and desktop software (MS Office, web browsers) and an interest in learning new technologies. Essential Application
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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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. Desirable Application/interview Experience in structural optimisation, AI/machine-learning-informed engineering design, surrogate modelling and/or engineering software development. Desirable Application