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cycle across a large suite of Undergraduate and Postgraduate programmes. This is a part time post (28 hours per week) and you will be offered a fixed term contract until 7th August 2026. About the role
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Research Associate will be using Natural Language Processing (NLP) methods, with a special focus on generative Large Language Models (LLMs), to interrogate a very large sample of Electronic Health Records
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Please note that although this role is advertised as a Research Scientist, your contractual job title will be “Research Associate - Inkfish: Large Language Models” About Us King’s College London is
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, improving market penetration, increasing event participation and outcomes, raising conversion rates, monitoring stakeholder feedback, and working with others to ensure CRM data quality. The successful
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of (university) policies and procedures including financial regulations and proven ability in managing multiple large and complex budgets. Highly proficient level of financial numeracy and experience of data
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Inkfish Principal Medical Research Scientist and appointment as Professor of Digital Health & Health Data Science Department: Department of Population Health Sciences About Us The School of Life
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medieval, early modern and modern world history. We are an intellectual home for scholars of every region of the world, who use approaches which range from local micro-histories to large-scale quantitative
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commitment to routine analysis to inform research will be required. As a research associate you will have knowledge and understanding of large datasets and experience in data evaluation to extract meaningful
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large, complex organisation. Strong analytical skills with the ability to interpret financial data and provide actionable insights. Excellent communication and collaboration skills, with experience
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variety of formats. Evidence of a capability to analyse and interpret large quantities of complex information with an exceptional eye to detail, for non-data specialists. Ability to research and produce