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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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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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qualifications:- you have completed or are close to completion (about to submit/defend) of your Master in Computer Science, Electrical Engineering, Statistics, Robotics or a related field- strong background in
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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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writing skills are a plus. Knowledge of Dutch is recommended, willingness to learn Dutch is necessary to work with surveys. Knowledge of statistics. Main responsibilities To plan and perform a research
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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