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understanding of these features will allow selection of Bif -communities for next-stage translational projects. We are looking for an enthusiastic individual who is motivated by big ideas in the field of early
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to facilitate large-scale data analysis and dissemination. This role is particularly suited to candidates with a strong quantitative background who is enthusiastic about translating statistical methodology
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will support the delivery of Peer Assisted Learning Strategies (PALS-UK) in a large-scale Education Endowment Foundation funded effectiveness trial. PALS-UK is a research-informed approach to supporting
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of information Ability to engage with both big-picture and detailed analytical thinking Experience with technical reports and/or academic writing Attributes: Proactive and self-driven to achieve workplan Motivated
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or Stata and a strong grasp of statistical methods, data analysis and regression modelling. You will have experience in using large complex datasets, data linkage, data cleaning, and good research writing
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used for this project. This is a large unique dataset with approximately 200 sessions of data acquired. The candidate will be an integral part of a large and diverse team of researchers at the CHBH, and
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analysing large scale bacterial evolution experiments, including extensive sequencing analysis Contribute to designing, performing and analysing in vitro pathogenicity assays Work within the specified
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bacterial cells. The successful candidate for this post will develop predictive mathematical models of accumulation, parameterising these against data provided by the microbiologists, mass spectrometrists
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research questions. Work with asset owners will also concentrate on determining the value of the data. Role Summary Design and conduct large-scale laboratory and field trials using both classical as