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. Strong knowledge of quantitative and/or computational research methods, ideally in econometric analysis or optimization and simulation models. Preferable knowledge in Python and STATA. A collaborative team
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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experimental sites • coordinate and perform soil health analysis across all experimental sites • derive cause-effect relationships between drivers (regenerative practices), mediators (soil organisms) and impacts
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conduct stability, reactivity and possible semi-synthesis study of selected bioactive SLs. • You perform a mix of chemical laboratory work and data analysis of natural products. • You contribute to a
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the field of Geospatial AI (GeoAI) and Geography of Crime. The joint research team hosts more than 30 researchers, focusing on GeoAI, spatio-temporal data analysis, location based services (LBS), urban
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to better understand the genetic and clinical variability of PRPH2-IRD by studying a large patient cohort with detailed genetic analysis and advanced imaging techniques. The project will focus on identifying
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: sufficiency measures and sustainable consumption corridors, post-growth policies, Beyond GDP indicators and welfare analysis, (ecological) public finance and policy evaluation. The aim is to apply for a PhD