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Field
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Knowledge and experience of using research data analysis software such as NVivo, SPSS or R Proven ability to analyse complex information and summarise appropriately Communication and Team WorkingProven
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to demonstrate excellent coding skills in R and/or Python and the ability to write code in R and/or Python in such a way that data analysis can be streamlined. Experience of contributing to research publications
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of conducting high quality academic research. Experience of preparing academic papers. Confidence in using statistical software (e.g. R, JASP, MAtlab) for advanced data analyses. Experience in programming
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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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general (and hazard perception in particular); virtual reality hardware and software; video editing skills; competence with R studio. Given the commuting requirements and the need to transport VR headsets
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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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challenges and proposing solutions. E6 Experience with challenging library preparation methods. Desirable F1 Experience using various technical software for sequence data analysis, namely R and Python. F2
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Essential: C1 Project or subject specific skills in Model Selecting, R and python coding, database management C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent
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techniques Experience using statistical software packages such as STATA, R, or others Knowledge and understanding of competitive research funding to be able to develop applications to funding bodies Proven
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. We are a highly collaborative group with an international reputation. What we are looking for Experience working with sequence data, programming in python or similar language (e.g. R), and a strong