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of root-microbe interactions in forming stable soil organic matter in different soil types and under future climate scenarios using a range of different approaches, and in collaboration with Statistics
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density of natural enemies to test the hypothesis that these are more abundant on locally common species. Skills and techniques: The project will provide training in spatial statistics, GIS and statistical
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and biosensors to probe the biochemical and biophysical underpinnings of development cellular processes with high spatial and temporal resolution. We are seeking candidates with interests in
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Vision Profiler (UVP), and to analyse its spatial and temporal variability. This will be done by combining different data sources and machine learning (ML). Data used for this ML approach include - a
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on the contribution to the research groups and co-authorships. Your Profile PhD and postdoctoral experience in statistics, computational biology or single cell analyses. Direct experience with advanced approaches
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moss biodiversity and function will change in relation to climate and grazing. This PhD will therefore use the powerful solution of spatial analysis utilising the natural heterogeneity of tundra
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technical and non-technical audiences. Commitment to research ethics, equity, and global health impact. Bachelor’s, Master’s, or PhD in environmental science, public health, policy, environmental engineering
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prepares data for submission to public repositories and collaborative networks. Conduct statistical and spatial analyses of ecological and climate datasets. o Implement software, hardware and workflows
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(publications) Participate in scientific and social activities of the Forest Ecology and Forest Management chairgroup Where to apply Website https://www.academictransfer.com/en/jobs/356077/phd-positions-fire
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, the work will address if spatial and temporal variation in thermoregulatory performance in birds has a heritable basis, and if selection for heat- and cold-tolerance is already ongoing in nature. The work