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decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a
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sense, including housing, macroeconomics, labor, urban, spatial economics, political economy, and conflict). Excellent communication skills in English. Ability to work in teams Applicants must submit a
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. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential. Selected candidates will spend half their time on collaborative research with
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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
to develop applied research skills in machine learning, interact with an international network of collaborators, and gain post-doctoral research experience. The ideal candidate is self-motivated and can work
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motivated post-doctoral associate (or research scientist for experienced candidates with 5 years of post-PhD experience). The candidate will work under the supervision of Future-GRID TecH director Dr. Mohamed
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Description The Mathematics Program in the Science Division, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on one or more of the following topics: Mathematical
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Description The Smart Materials Lab (Panče Naumov Group) in the Division of Science and Mathematics, New York University Abu Dhabi, seeks to recruit a post-doctoral associate to work on crystal
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) at NYUAD. The results of this work are anticipated to be published in peer-reviewed journals and presented at prominent conferences. We offer unique opportunities for cross-disciplinary collaborations
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-Doctoral Associate to work on a fascinating project focused on the geomechanical modeling for energy applications. The position will be directly supervised by Professor Mostafa Mobasher and will involve
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, and Samreen Malik. The collaborative research will be on macroeconomic expectations, with a focus on firms and the role of networks. An ideal candidate may have experience with surveys and have