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growth, spatial data and GIS, and statistical analysis in R. About the position The doctoral student will plan and carry out field experiments and inventories, manage and analyse spatial and experimental
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circulating tumor DNA, with comprehensive tissue-based profiling methods such as gene expression analysis, DNA sequencing, single-cell sequencing, and spatial transcriptomics. These high-dimensional data
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spatial and temporal variability in sediment accumulation and vegetation development. This PhD project is part of a larger interdisciplinary research initiative aiming to enable a transition towards more
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, their performance depends on effective operation and maintenance which in practice is often reactive or based on fixed schedules, despite large spatial and temporal variability in sediment accumulation
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or heterogeneous environmental datasets Familiarity with spatial analysis, GIS, or geospatial data workflows. Experience with machine learning, modelling, or systems analysis approaches Interest in resilience