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data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly
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Computational Sciences or similar. You have strong expertise on analyses of biology-related large datasets. Expertise in single-cell and spatial data analysis, spatial statistics and annotation is an advantage
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large spatial and temporal scales. Experience in the conceptualisation and development of new methodological approaches for analysing and modelling species range dynamics, functional trait variation
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of spatial biology as per 1 October 2026 or as soon as possible
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vegetation ecology, plant community ecology or multi-taxon biodiversity analyses analysis of field, camera-trap, trait, citizen-science, spatial or remote-sensing data GIS, spatial modelling, remote sensing
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, including vision, LiDAR, inertial measurements, and radio signals, to maintain coherent spatial awareness and act reliably under uncertainty. A particular focus will be placed on learning and decision-making
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Sheet darkening, and relate them to ice melt at large spatial scales using remote sensing. The postdoc in this project will be the main responsible for the acquisition of data related to snow and ice