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, and computational humanities. The postholder will lead the curated stream of the project, which involves designing a large corpus of Latin texts, curating it (correction of pre-processed data and corpus
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, which involves building a large corpus of Latin texts (data collection and pre-processing), mining dictionary data, and developing novel algorithms for time-sensitive word sense disambiguation (WSD) in
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly
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qualification/experience equivalent to PhD level in health data science or similar field. Experience working within multidisciplinary teams and in the preparation and analysis of large healthcare datasets such as
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About us This post is within the School of Engineering and Materials Science, a large School with approximately 70 academic staff and around 45 postdoctoral research staff. There are around 1000
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between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
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You will have or be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With
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funding applications or permanent academic positions. About you The successful postholder will hold a PhD/DPhil in geophysics, Earth sciences, or a closely related field. The ideal candidate will have
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be close to the completion of a PhD/DPhil in epidemiology, biostatistics or big data, along with demonstrable experience of working with population registers and large datasets. With proven
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18 Nov 2025 Job Information Organisation/Company KINGS COLLEGE LONDON Research Field Language sciences Literature Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country