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Role Description This role will give you the opportunity to help research the safe and responsible deployment of AI Foundation Models in critical applications such as healthcare and transport. You
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) Application Deadline 15 Apr 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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experience in wireless communication systems as well as familiarity with design and training of state-of-the-art large generative AI models, e.g. Diffusion Models, Multimodal Large Language Models, etc
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road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting
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, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and
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experience in wireless communication systems as well as familiarity with design and training of state-of-the-art large generative AI models, e.g. Diffusion Models, Multimodal Large Language Models, etc
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these hypotheses through computational modelling of cognition and cultural evolution, to develop new foundations for phonological theory. Responsibilities The candidate will be a member of a research team focused on
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Multiphysics modelling, and a strong interest in applied engineering and computational science. We offer a generous annual leave package plus discretionary University closure days, excellent training and
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and experience with previous relevant experience in computational modelling and experimental testing. Applications for Research Fellow positions will be considered from candidates who are working
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because phonologies undergo cultural evolution, an optimising process. REVOLUPHON tests these hypotheses through computational modelling of cognition and cultural evolution, to develop new foundations