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that handle large network sizes and additional information – such as fine-grained temporal information for email traffic or additional neighbourhood structures – are essential. A key challenge in modelling
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the predictions of opaque models that are widely deployed in high-stakes decision making scenarios. Of particular interest to this project are example-based explanation methods that use individual data points
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distinct cohort, in addition to refining how we collect and analyse these data. This project will involve working with existing large datasets, optimisation of data processing and statistical analysis
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offers the opportunity to gain experience and skills in medical education particularly small and large group teaching, workplace-based teaching, written and clinical assessment including standard setting
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. The successful applicant will have the opportunity to gain experience and skills in medical education particularly small and large group teaching, workplace-based teaching, written and clinical assessment
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for the above post, which offers the opportunity to gain experience and skills in medical education particularly small and large group teaching, workplace-based teaching, written and assessment including standard