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, working with social network analysis tools, and examining cyber campaigns conducted on social media. The research experience must be demonstrated through published research articles in leading journals
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simulation, especially when combined with knowledge of complex systems, network science, resilience theory, urban science, computational social science, or disruption modelling. About us The candidate will
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doctoral programme at the TUM School of Social Sciences and Technology. Helpful, but not required Hands-on experience with network analysis, process tracing or comparative case study research. Familiarity
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, the college collaborates across the university, the Northeastern network, and partners around the globe. Responsibilities: The School of Public Policy and Urban Affairs in the College of Social
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8 Oct 2026 Job Information Organisation/Company Technical University of Munich (TUM) Department School of Social Sciences and Technology Research Field Architecture Communication sciences Computer
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(ULTIM): CCSOs” - Postdoc 4 (PD 4) focuses on the political-sociological analysis of the political mobilization of European CCSOs. PD4 will have relevant competences in civil society analysis, social
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., spatial analysis, social network analysis, intelligence analysis, forecasting) are especially encouraged to apply. TYPICAL ACTIVITIES Teach courses primarily in person and possibly online at the San
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California State University, San Bernardino | San Bernardino, California | United States | about 14 hours ago
criminology and advanced analytical methods (e.g., spatial analysis, social network analysis, intelligence analysis, forecasting) are especially encouraged to apply. TYPICAL ACTIVITIES Teach courses
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8 Oct 2026 Job Information Organisation/Company Technical University of Munich (TUM) Department School of Social Sciences and Technology Research Field Architecture Communication sciences Computer
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your employment; excellent command of social science research methods, including quantitative (e.g., regression analysis of survey and cross-national data, causal inference design, statistical