4 business-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Queen Mary University of London
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Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
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mechanisms linking matrix mechanics, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate
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a strong track record of high-impact publications, external funding (>£4 million) and mentoring early-career researchers within a collaborative and supportive environment. More information: https
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and platform engineers to make the databases reliable, performant and secure, and partners with the Technical Business Analyst and source-system owners on schema, migration and integration design