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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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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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the context of our commitments to the ATLAS Experiment at the CERN Large Hadron Collider. This will involve undertaking specified activities in the operation, performance-optimisation and exploitation
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data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication, research seminars etc Supervise students on research related work and provide
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Survey (BAS). There are also strong connections to the Institute for Data and Artificial Intelligence (IDAI) at UoB. The researcher will work with Dr. Martin Widmann, Dr. Ruth Geen and Prof. Gregor
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
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Translational Centre. Plan and publish high quality research, supported in this by the Centre Leads and Deputy leads. Conduct secondary data analyses. Expertise in big data would be valuable as well as advanced