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organisation across species. This will be a key pillar of a larger UKRI-funded research programme developing anatomy-driven artificial intelligence methods for fundamental and translational neuroscience. Working
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the impact of artificial intelligence on global societal outcomes through high‑quality, policy‑relevant research grounded in the social and computational sciences. The Initiative is internationally recognised
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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undertake high-impact research at the interface of materials science, advanced imaging, and artificial intelligence, with a particular focus on developing automated approaches for analysing multi-modal
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Xi'an Jiaotong - Liverpool University – School of Intelligent Manufacturing Ecosystem ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and
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candidate will contribute to an interdisciplinary research programme at the interface of artificial intelligence, biology, and human health. Reporting to the BDI Director, the post holder will play a leading
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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together to answer some of the most important questions about the causes, prevention and treatment of disease. We are seeking a Researcher in Computational and Systems Biology to lead innovative research
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application of AI and machine learning models to interpret complex X-ray datasets, and the integration of experimental and computational insights to generate actionable knowledge that advances sustainable metal
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is funded by ERC (or UKRI) and is fixed term to 31 December 2028. We are seeking two candidates for a research project focused on developing the foundations for artificial intelligence (AI) agents