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data processing, statistics, and multivariate analysis of high-dimensional datasets. An excellent publication record relative to career stage, with evidence of scientific independence, intellectual
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social context on intergroup reconciliation”. The overarching aim of this project is to systematically examine the influence of social context on effectiveness, processes and durability of intergroup
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candidates who wish to take a leading role in our research programme. In the appointment process, special attention will be given to research skills. Previous experience within ATLAS, data analysis and
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LCA software (SimaPro, OpenLCA, Brightway). Skills in R or Python for data processing and analysis. Experience with soil or biodiversity monitoring methods. Experience using GIS (QGIS, ArcGIS