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inquiry. Exceptional Benefits: Comprehensive health & life insurance, Relocation support for international faculty State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
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advanced instrumentation and computational support for high-throughput data collection, visualization, and analysis. The NYUAD-CGSB operates in partnership with its sister center, NYU Biology’s CGSB, in New
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magnesium oxide cements (RMC) and Engineered Magnesia Composites (EMC) as part of a broader effort to create sustainable and high-performance construction materials. Building on recent insights
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the Academic Year 2025-2026. The successful candidate will contribute to the ongoing development of a Public History curriculum within the History Program and the Arts and Humanities Division and collaborate
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process. Our lab has been conducting large scale web-based experiments using the masked priming paradigm to measure with high precision how different sources of information are taken into account in
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the area of computational heat transfer and machine learning for radiative transfer in scattering media. The successful applicant will use machine learning for solar photovoltaic (PV) and concentrated solar
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advanced control and learning algorithms, particularly in the context of human-robot interaction, in addition to an experience in working with real robotic manipulators. Demonstrate a high degree of self
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of this fascinating project: To design and assess the performance of self-sensing cementitious materials endowed with high sensitivity, resistance to temperature, and durability under the highly basic environment
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Management. This role is ideal for professionals committed to delivering high-quality teaching, contributing to curriculum development, and supporting students’ academic and professional development. You will
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of large-scale survey data, which are combined with administrative and experimental datasets to answer high-impact policy and academic questions. Applicants must have a Bachelor's degree in Computer