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Research, University of Copenhagen, Denmark. Candidates should have a strong background in (genetic) epidemiology, bioinformatics, statistical genetics, data science, machine learning, or a closely related
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PhD fellowship in conservation science - developing and validating indicators of ecosystem integrity
experience in field, database and GIS work on biodiversity and ecosystem processes, such as ecohydrology, nutrient dynamics and carbon pools, as well as statistical modelling will be considered assets.Fluency
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calcium imaging. You will play a key role in establishing the behavioral assays, as well as data and statistical analysis and will have a large degree of freedom in shaping the project, based on your
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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