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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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Skip to main content Recruit Home Open Recruitments Postdoctoral Scholar with the Center for Spatial Studies and Data Science in the Geography Department (JPF02931) Postdoctoral Scholar with
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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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-seq, ATAC-seq, spatial transcriptomics, …) into modeling and develop efficient data/training pipelines Drive application cases with Helmholtz Munich, MDC Berlin, and NVIDIA—for example, disease modeling
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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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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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, 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
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candidate(s) will have knowledge and enthusiasm for waterfowl and experience with spatial and statistical models and coding to address the research objectives using modern statistical packages, open access
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Fellow at the European Economic Association, Chair of the EEA Women in Economics Committee, CEPR Research Fellow and co-leader of Trade and Spatial Frictions Theme of the STEG-CEPR program. https
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Organisation Job description This postdoc position will focus on quantitative and spatial analysis of regional population declines and changes in the provision of health and care services since