15 machine-learning-"https:"-"https:"-"https:" ";" Postdoctoral positions in United Kingdom
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quantum attacks Verifiable and privacy-preserving machine learning (e.g. proving model integrity or fairness without revealing training data) Scalable ZK-proof constructions for federated and
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research skillset in novel machine learning approaches, we are recruiting a team of outstanding researchers in cloud compute architecture design and event-triggered computing to work with us on
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language processing, computational linguistics, machine learning or a cognate discipline; experience of analysing the internal representations or computational behaviour of large language models, using
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with researchers with varying academic backgrounds. Those with experience in, for example, machine learning, high-performance computing, reconfigurable hardware, cloud computing, compiler engineering
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure
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, computational linguistics, machine learning or a cognate discipline; experience of analysing the internal representations or computational behaviour of large language models, using methods such as
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responsibility for carrying out research in rough path theory, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational
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discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely related field) with significant post-qualification research experience. You
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(and cleanroom fabrication), photoacoustics, inverse design or machine-learning methods is highly desirable. We do not expect expertise in every technique. We value intellectual curiosity, research
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have strong technical expertise in machine learning, large language models and data analysis, alongside experience of high-quality empirical research. The role requires excellent collaboration and