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project Department of Clinical Research, SDU | 2½ years Research tasks The postdoc will be affiliated with the FEMME project (FErtility and Medically assisted reproduction: Mapping women’s short- and long
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% Citescore, alternatively top-10 on a Google Scholar list. Monographs should be published in reputable publishing companies. At least one of the qualifying publications needs to be single-authored. A coherent
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clear and accessible maps and figures that can inform both academic debates and practice. The position includes a central role as data manager for BUILD’s servers at Statistics Denmark. In this role, you
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calibration to support reliable regional projections. Your work will play a vital role in mapping regional mitigation hotspots and assessing the trade-offs between nutrient use efficiency (NUE), nitrous oxide
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such as Google Earth Engine statistical modelling, machine learning, cloud/high-performance computing retrieving ecologically relevant environmental data from national to global databases research and/or
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Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly informative but also pose significant privacy risks. Your work will focus
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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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, Denmark, Hungary, Kenya, Malaysia, the Philippines, South Africa, and the United States). The first work package maps corporate-political elite networks and identifies the firms and individuals with
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, citation-context analysis, and historically informed comparative analysis of science reforms. More specifically, the postdoc is expected to contribute substantially to: Mapping the social and intellectual
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societal impact at Aalborg University, including alignment with national initiatives Mapping competencies and teaching capacity related to innovation across academic environments at Aalborg University