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that become imaginable? In planning, climate risk is typically framed as a technical issue to be quantified and absorbed into evaluative procedures. Tools such as cost-benefit analysis (CBA) translate uncertain
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competence in quantitative and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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motivation for academic research and curiosity about global talent and innovation systems; quantitative analytical skills, including experience with data analysis and statistics; experience with web scraping
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scale datasets; Programming skills in Python and/or R; familiar with reproducible coding and automated (geospatial) data analysis; Familiarity or interest to dive into environmental or soil science
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reflecting airway tissues. Your tools: Interdisciplinary receptor analysis: you will work with glycan arrays, engineered glycans, influenza binding assays, and—depending on expertise—molecular biology
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cooperative behaviour to understand the drivers of cooperation through historical analysis, with additional insight from the field of social psychology. By clarifying when cooperation succeeds or fails in
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comparative study of Western Europe, you will therefore investigate interactions between social movements, ideas, and political change. Your research will involve the analysis of archival sources from social