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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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of biodiversity and model the potential future biodiversity recovery given during land use transformation and restoration in Denmark. This involves spatial and temporal optimisation and prioritisation of land for
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