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to 1,500 EUR per month. Academic admission requirements Master's degree or equivalent in the life sciences, mathematics, computer sciences, statistics, biophysics, or a related field Language requirements
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Associated Applied Statistics and Empirical Methods (ASEM) Programme Faculty of Chemistry Chemistry Thematic programme Catalysis for Sustainable Synthesis (CaSuS) Programmes Faculty of Geoscience and Geography
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German Institute for Economic Research (DIW Berlin) • | Berlin, Berlin | Germany | about 19 hours ago
engineering, statistics, or quantitative social sciences) may also fulfil requirements for the programme if applicants have sufficient background knowledge in economics. Applicants whose native language is not
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Studies and have performed exceptionally well in their studies. Applicants from related fields (such as Industrial Engineering, Statistics, or quantitative social sciences) may also fulfil the admission
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researchers. Faculties Human Sciences and Education Educational Science Psychology Social Sciences, Economics, and Business Administration Political Science Sociology Economics Statistics and Econometrics
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cybersecurity research. Who you are: You have BS in machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years
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mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
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, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
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) or quantitative (e.g., surveys, statistical analysis) methods and demonstrate a willingness to learn about the other approach or mixed-methods research. Knowledge of social science approaches (e.g., psychological
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proficiency in data analysis and statistical software packages. You have problem solving skills. You fit to us: If you have a strong interest in plant physiology and root biology. If you have strong scientific