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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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Science, Statistical Physics, or any other related field. The skills that we are looking for include: Statistical analysis & causal inference Data management, collection & visualization Social network analysis & graph
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in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender
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researcher to conduct research within the project, both individually and in collaboration with the research group. The position requires prior experience with ethnographic fieldwork or digital network analysis
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communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems
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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | about 17 hours ago
research in applied topology, including topological data analysis, stochastic topology, network analysis and computational topology techniques —with a view towards open problems in the life sciences
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 4 days ago
/d) in applied topology for biology. The successful candidate will conduct research in applied topology, including topological data analysis, stochastic topology, network analysis and computational
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undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected
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communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems
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allow young people to feel socially integrated and supported within their local environments. At its core, the project undertakes a municipal structure and actor analysis, implemented through case studies