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that combine qualitative and statistical analysis, and help develop study protocols. You will handle data management, cleaning, and analysis using appropriate statistical techniques, and work with parent
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coordination, research evaluation and insight, research information, support for the University’s main research-related committees, management of strategic internal funding, and the development and coordination
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MRC centre of research excellence in Therapeutic Genomics. You will be responsible for performing detailed analysis of large genomic datasets, including data processing, statistical analyses
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to prevent and/or mitigate the impact of E. coli and Klebsiella spp. infections, including those associated with antimicrobial resistance (AMR). As part of this post there is an opportunity to analyse large
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research, analytical and problem-solving skills – able to handle large volumes of information, distil complex issues, and provide clear, practical solutions under pressure. • Outstanding attention to detail
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. They should have experience of managing a large programme including excellent numerical skills to manage budgets. Strong problem-solving skills and the capacity to work independently are essential. What we
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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Join the team that has recently gained large recognition due to the unprecedented speed of activity in the race against the global threat to human health that is coronavirus. With over 25 years
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subject-specific workshops to large-scale academic conferences and recruitment events. In this role, you will play a key part in coordinating seminars and research camps, while also supporting broader event
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) information-theoretic active learning, and c) capturing uncertainty in deep learning models (including large language models). The successful postholder will hold or be close to the completion of a PhD/DPhil in