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, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data
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interaction, (vi) Network Science. The ideal candidate is self-motivated and hard-working with a PhD in one of the following: Data Science, Computer Science, Computational Social Science, Information
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inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science. The ideal candidate is self-motivated and hard-working with a PhD in Data Science, Computational Social Science
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/ Knowledge Graph Representation / Recommender Systems Graph Theory/Network Science Python, and up-to-date machine learning libraries Excellent written and verbal communication skills Track record of publishing
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to advancing the frontiers of wireless communications and shaping the networks of the future. As a newly established center, it represents a timely initiative that aligns closely with the UAE’s vision to lead in
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, demonstrate intellectual initiative, a strong work ethic, and the ability to thrive in a multidisciplinary research environment. Outstanding written and verbal communication skills are essential. The terms
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cooperation with historical sociologists and economists. An experience in community outreach will add another hefty plus to such candidate. The position does not require teaching, but it may be possible to get
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Engineering, and Material Science are also welcomed. Required qualifications include: strong communication and presentation skills; a track record in writing and publishing peer-reviewed journal publications
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learning Foundation models, including large language models Agentic AI Multi-agent AI systems Transfer learning Self-supervised learning Federated learning The Postdoctoral Researcher will be primarily based
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to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research