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Meta/Facebook, AI and Systems Co-design Position ID: Meta/Facebook-AI and Systems Co-design-RSMPK [#31789] Position Title: Position Type: Postdoctoral Position Location: Menlo Park, California 94025
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
standard benchmarking and reporting systems. Essential Skills: Demonstrated experience developing and executing paid social media campaigns on Meta, LinkedIn, and X. Demonstrated experience with tools
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statistical analysis plans Develop statistical code for harmonized data analyses across countries Coordinate site-specific analyses and combine results using meta-analytic methods Draft manuscripts
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semantic integration, combining a high-powered preregistered fMRI replication study, functional connectivity analyses, and a preregistered meta-analysis of the neuroimaging literature. The intended starting
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identity; (b) strategise and oversee the University’s social media presence across both international platforms (Instagram, Facebook, LinkedIn) and those in the Chinese Mainland (WeChat, Xiaohongshu
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di MilanoCountryItalyGeofield Contact City Milan Website https://www.polimi.it/ STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo
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degli Studi Roma TreCountryItalyGeofield Contact City Roma Website http://www.uniroma3.it STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail
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media and psychological well-being. Responsibilities: Assist in a meta-analytic research project on social media and well-being, including conducting systematic literature searches, screening relevant
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
appropriately accredited institutions. Required Qualifications, Competencies, and Experience Demonstrated experience developing and executing paid social media campaigns on Meta, LinkedIn, and X. Demonstrated
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experimentation – spanning RL, few-shot learning, meta-learning, etc. – with formal analysis to push the boundaries of what modern AI systems can reliably reason about. Position available starting around July 2026