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to ethical and reproducible research. Relevant experience may include network measurement, mobile systems, browser instrumentation, distributed experimentation, statistical analysis, causal inference, large
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reproducible research. Relevant expertise may include NLP, large language models, computational social science, social-network analysis, causal inference, survey or behavioral experiments, recommender systems
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at the intersection of artificial intelligence, human behavior, social networks, institutions, and large-scale digital systems. Recent projects span the societal effects and governance of AI, online-platform audits
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Max Planck Institute for Gravitational Physics, Potsdam-Golm | Potsdam, Brandenburg | Germany | about 21 hours ago
relativity, to the analysis and interpretation of data from LIGO, Virgo and KAGRA today, and from Einstein Telescope, Cosmic Explorer and LISA in the decade ahead. We invite applications for several
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research with Professors Mario D. Molina, Minsu Park, and Blaine Robbins. We seek candidates with research interests and expertise in social networks, group or organizational dynamics, and computational
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the internal application process. Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete
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the Social Benefits Fund (for holidays and Christmas). We kindly inform you that the controller of your personal data is Network Institute operating under the name of Łukasiewicz Research Network – PORT Polish
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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Virtual Research Institute (WIB) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized
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Virtual Research Institute (WIB) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized