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collaboration with a PhD candidate at the Methods and Statistics department, for example on complex data analysis, and the development of personalised visualisations for use by clinicians and patients. You also
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and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will write research papers and a policy brief
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audiences and collaborate across disciplines; proficiency in spoken and written English. Experience with plant pathogens, microbiome sequencing, image-based phenotyping, R/Python, statistics or machine
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competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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Survey (ESWS) data from 9 European countries and a multilevel design with employees nested in teams nested in organisations. Advanced statistical techniques will be used to perform the analyses. You will
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping