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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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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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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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dealing with the large number of plankton types and with unresolved ecological processes especially around mortality. Modern, GPU based, modelling infrastructures provide promise towards running models
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scans. The Oxford team, in partnership with 5 hospitals sites, has curated a large fetal echocardiography dataset called CAIFE consisting of both healthy and abnormal fetal heart scans. You will be
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at the intersection of artificial intelligence, multi-omics integration, and cellular systems modelling. Based at the Big Data Institute (BDI) at the University of Oxford, the successful candidate will join the Ideker