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thereafter. The successful candidate will be working on statistical methods and analysis projects together with external collaborators and together with senior staff members from the Section of Biostatistics
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communities and carbon cycling, as well as statistical modelling will be considered assets. Fluency in spoken and written English is a requirement. Ability to communicate seamlessly with practitioners in Danish
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investigating potential vaccination strategies for poultry. Methods from classical statistics, spatial statistics, machine learning and simulation modelling may be used as necessary to meet the objectives
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Familiarity with research data and/or GDPR Competent in the Unix shell and with experience in an HPC environment Practical experience with R and/or other statistical tools Familiarity with cloud computing
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assessment Epidemiology Statistical analysis in R Place of employment The place of employment is at Department of Public Health (Øster Farimagsgade 5, København) University of Copenhagen. We offer creative and
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analysis and maintenance, and programming skills (e.g., R statistical software, Arduino) are benefits. Fluency in written and spoken English is a requirement. The most important personal qualifications
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(AgroEcoHPM), ensuring access to databases, improved tools for optimisation, statistical analysis, coupling with machine learning, development of documentation and educational tools and other improvements