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semi-quantitative network methods (socio-technical configuration analysis, STCA), and contribute to the project's methods development compare cases across sectors and across high- and middle-income
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, analysis, and writing. The project offers new perspectives on historical economic inequality, a major field of research both in Sweden and internationally. GLOW forms part of the research node HEIRS
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Documented ability to work in Python Experience with machine-learning methods for record linkage and text analysis Documented experience with machine-learning methods for image-to-text transcription
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