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Fluency in oral and written English It is meritorious that the applicant has Prior involvement in interdisciplinary projects combining computational and biological sciences. Familiarity with data management
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resolution, across a range of research applications. These projects will be conducted in close collaboration with NGI Uppsala, providing access to state-of-the-art technologies and instrumentation for high
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of the project, through development of the R package treepplr (www.github.com/treeppl/treepplr ). The work will include development and implementation of methods to test model adequacy, inference diagnostics
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research environment is characterized by a modern and advanced methodology and has a strong international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD
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group within a few years of their PhD. We offer generous funding for up to 9 years, conditional upon favorable review after four years. Data-driven epidemiology and biology of infection covers research