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Field
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steer institutional or funder priorities. Clarify your precise contribution and any demonstrable impact (e.g. citation in a funding call, adoption by an R&D organisation, reference in parliamentary
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(or capacity to develop understanding) in relevant field Good programming skills in a data processing and visualization language such as Python, MATLAB, R or NCL Experience with UNIX/LINUX and High
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journals. Have experience in: (i) integrating single-cell and spatial multi-omics; (ii) computational programming in R, Python (and other common computer languages); (iii) competence/interest in analysing
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of using and developing Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information
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call, adoption by an R&D organisation, reference in parliamentary briefings). Collaborating and communicating across sectors Summarise your experience of working with non-academic stakeholders – industry
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very good working knowledge of statistically packages such as SPSS, AMOS, Stata or R Experience of cleaning, recoding and cataloguing large and complex data sets suitable for time-dependent