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from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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for Multi-Agent Decision-Making, https://oceanerc.com ). This timely project will develop statistical and algorithmic foundations for systems involving multiple incentive-driven learning and decision-making
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People from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator
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halls. Personal Development: Access to courses run by our Organisational Development & Professional Learning team. Access to on-site childcare, shopping discounts and travel schemes are also available
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exciting project that will develop new approaches to handle missing data in statistical analyses based on machine learning methods. The Research Fellow will be based in the Department of Medical Statistics
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. Our pre-covid NSS scores for overall satisfaction was above 90% for eight years and since covid have been ahead of the sector average and sector benchmarks. We provide a learning experience of the
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We are seeking a Research Fellow to perform research on deployment of machine-learned models for health analytics on distributed IoT/edge/cloud systems using transprecise computing and contribute
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: To create a world class visitor and learning experience across all V&A sites and collections. Focus and deepen the relevance of our collections to the UK creative and knowledge economy. Expand the V&A's
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support the process of sha red learning and devolpment across the Centre’s community partners. C4 will find and share the most effective community action strategies, providing invaluable insights for both