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data within large-scale health datasets. The postholder will contribute to the objectives and development of a research programme funded by Barts Charity, aimed at realising the full potential of Genes
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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Science or a related discipline and demonstrate strong skills in natural language processing and large language models. Knowledge of educational theories and human-computer interaction would be advantageous
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which is part of the DiRAC national supercomputing facility. Further information may be found at . The Role Research Assistant We invite applications for a Research Assistant position, to start in October
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of large-scale nutritional data within an epidemiological context. Post 1 (Micronutrient status) will analyse and model micronutrient status biomarker data from epidemiological surveys and cohorts (Professor
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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well as secondary data wrangling and analyses on large, cross-national datasets from dozens of countries across 4 waves on adolescent identity, school experiences, and social outcomes. This role will also entail
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25 Apr 2026 Job Information Organisation/Company DURHAM UNIVERSITY Research Field Physics Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established Researcher (R3
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The Role The role focuses on advancing research in explainable and trustworthy machine learning, with a particular emphasis on mechanistic interpretability and its application to healthcare data
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for the second half of this exciting research project. Both roles are focused on the analysis and reporting of large-scale nutritional data within an epidemiological context. Post 1(Micronutrient status) will