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’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic techniques. This holistic approach strengthens our ability to address
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assemblage of huge biological data sets on species distributions and traits built from primary sources, as well as huge genomic data sets. We work with novel macroecological process-based and null models
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and improve an assemblage of biological data sets on species’ distributions and traits. We use a range of tools from novel macroecological process-based and null models to cutting-edge DNA and genomic
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] that process information in temporal rather than spatial modes to reduce their footprint. The project involves a collaboration between DTU Electro (Senior Researcher Mikkel Heuck) and Harvard University (Dr
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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soil microbial communities. You will be contributing to specifically the area of handling microbial data to assess the spatial distribution of several soil properties and fungal communities using samples
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contributing to specifically the area of handling spatial data to assess the distribution of several soil properties and fungal communities using samples collected from multiple habitats and land use types at a
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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model with a farm model Run scenario analysis to identify management practices with the largest mitigation potential, both spatially and temporally Coordinate and contribute to dissemination
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite