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Field
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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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) Social Media Analysis (iii) Algorithmic Privacy, (iv) Analysis of Academic Collaborations, (v) Human-Bot interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD
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possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal
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to five times per year. Essential Duties/Tasks Data Analysis and Interpretation Analyzing quantitative social network analysis data and qualitative interview data to better characterize the professional
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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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asset. Participation in networks, research projects and contracts in the field of life cycle analysis of energy systems. Authorship of scientific articles in prestigious journals. Oral and written
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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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, adversarial networks, SHAP values analysis, etc.) to reach the objectives of the project. The team consists of Nicolas Gros (PhD candidate), Francesca Cecchet, Julien Collaux, Laurent Houssiau, Alexandre Mayer
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Interacting Urban Networks, New York University Abu Dhabi, seeks to recruit a
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management, collection & visualization Social network analysis & graph theory Online tool/web development Running controlled experiments Game-theoretic modelling Excellent communication skills in English