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aims to identify biomarkers in the eye and brain that explain vision loss, building on our previously-developed method linking clinical, neural and behavioral data (Allen et al., 2018; Miller et al
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molecules from large high-throughput screens (Nature Communications, 16, 305-319, 2025; Food Chemistry, 491, 145215, 2025), the laboratory plans to use the newly discovered compounds towards fundamental
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experimental research in social sciences. The lab currently has a large participant pool from the NYUAD community, students from other local universities, and participants from the general public. The basic
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics
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Unmanned Aerial Vehicles (UAVs). RISC invites qualified applicants in the areas of electrical, computer, or mechanical engineering to apply. The successful applicant will primarily develop specialized UAVs
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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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Description The Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical
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of substitution models using large dataset, successful applicants must then have a PhD and demonstrated experience in discrete choice models, machine learning techniques, big data, and optimization
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
Geotechnical Engineering, Civil Engineering, or a related field, and should demonstrate strong expertise in at least two of the following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian