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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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outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new
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Contribute to the creation of a large database on historical banknote users Collect and summarise relevant background information about monetary and financial history in modern Britain between 1690s and 1920s
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oncology clinic where they can work on a translational project and generate preliminary data for a PhD. Examples of programmes on-going include using peripheral immune cells to predict immunotherapy response
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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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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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graduates on challenging, high-profile projects. Further information is available at: www.birmingham.ac.uk/ktp Role Summary The post holder will carry out research on and work with Salinity's customers
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and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co-produce new knowledge, contribute to public understanding