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Field
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loss data. Computing skills including experience in advanced statistic programming languages (R and/or Python), remote sensing and GIS software (Google Earth Engine, ArcGIS and/or QGIS). Demonstrated
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. Basic computing skills including some level of experience in advanced statistic programming languages (e.g., R). Previous fieldwork experience working with Indigenous Peoples and local communities. A
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disability, a gap in their CV or immigrant background. The ticks in the jobseeker portal form the basis for anonymised statistics that all state-owned enterprises report in their annual reports Information
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teaching and research covering a wide spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics
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degree is awarded within 4 weeks after the application deadline. A solid background in one or more of the following fields are required: Decision theory or statistics AI and machine-learning techniques
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spectrum of subjects within mathematics, mechanics and statistics. The research is on theory, methods and applications. The areas represented include: fluid mechanics, biomechanics, statistics and data
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master's degree in Business and Information Systems Engineering, Business Engineering, Informatics, Computer Science, Machine Learning, Artificial Intelligence, Information Management, Statistics or related
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 21 days ago
datasets (like international or panel surveys) is an advantage Confident mastery of the statistical packages R, knowledge of further packages is an advantage Proficiency in spoken and written English and
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that to others, and know when to apply which method. You have a rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a
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rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a Master’s degree in Economics, Political Science, Data Science, or a