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methods for data analysis and integration. Our research questions often originate from the life sciences or the (public) health sector. We integrate different levels of data and develop combined
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analysis. - The student will be expected to contribute in locating, collecting, harmonizing, and systematizing historical data from primary sources of various countries and firms using statistical software
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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The MODAL research campus ("Mathematical Optimisation and Data Analysis Laboratories") researches and applies modern mathematical methods and data-driven approaches to develop innovative decision
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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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, migration / diversity or transnationalization research & familiarity with related literature - working knowledge of syntax based statistical software (preferably Stata or R) - knowledge of a further European
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, tutorials and practical courses. You will actively support the development and design of courses and you can introduce innovative teaching methods and technologies to create an engaging learning environment
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fate, transport of dissolved and particulate substances, groundwater ecology and microbial dynamics as well as quantitative hydrogeology. Job description: Your activities include research on methods
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area studies • Excellent proficiency in both German and English (C1) • Experience or interest in working with reference management software (e.g., Endnote) and literature research • Interest in
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methods. Desirable: - enrolled in Sociology, Political Science, Economics, or related disciplines; - good academic achievements; - very good command of the English language (C1); - familiar with scientific