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, working closely with the Core Outcome Measures in Effectiveness Trials (COMET) Initiative. You will develop and evaluate natural language processing and machine-learning methods (including large language
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FTE role supporting the international FEVER II study. C-GULL is a large contemporary birth cohort following up to 3-4,000 infants. Nested within C-GULL, HBHF is investigating early predictors of anxiety
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examines gambling behaviour and ways to address gambling harm. Two types of data will be employed. The first is publicly available data from national surveys and from the Gambling Commission, such as the
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., 2021), originally developed for French, to other languages. This will involve working with large-scale naturalistic language corpora (e.g. CHILDES) and adapting and refining the model to make it more