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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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are particularly interested in individuals who have: Strong background at least two of the following areas: machine learning, natural language processing, large language models and multimodal processing Excellent
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collaborate with NHS services to collect data from clinicians and contribute to research with children and families using standardised assessments. Responsibilities include project setup, participant
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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have the following responsibilities: Development and implementation of hardware and software; Data analysis and modelling; Coordination of field measurement and data analysis; Writing reports and
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for a year (Oct 2025 - Oct 2026). Timings can be flexible providing key deadlines are met and important meetings are attended. How to apply For further information please contact Birgitta Gatersleben
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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working