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This is an exciting opportunity for an enthusiastic and talented researcher with expertise in health data, data science, medical statistics, and/or machine learning to join the Electronic Health
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of policy-relevant statistical analyses of linked health data with development of an individual based model that simulates trends in drug-related deaths and estimates impact and cost-effectiveness
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, autonomy, collaboration, transparency and transferability. The ability to teach Mathematics or statistics would be an advantage. · You have teaching experience on courses in Biomedical Sciences / Biology
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terrestrial environments; statistical analysis and data visualisation; as well as developing student study skills, participation in residential overseas field trips, student research project supervision and
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cell culture, cell behaviour assays and live cell imaging, molecular and protein biology assays. Recording and analysing data and preparing summaries including statistical analysis, figure preparation
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research, data presentation and statistical evaluation, as well as the ability to organise a varied workload between research, supervision and administration. Ability to communicate well, understand
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and relevant experience with advanced proficiency in using statistical tools/software packages including R and/or Stata. 5. Knowledge and understanding of competitive research funding to be able
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needs (internal and external) including activity reports and statistical data on the use of and outputs from (e.g. publications and grants) the SRF. • Provide specialist knowledge and expertise