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(CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated researcher to work on topics in the theoretical foundations of data science and AI. The selected candidate will be part of the Foundations
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correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT
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science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre Youssef. We
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
following areas: Large-deformation numerical modeling (e.g., Coupled Eulerian-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and
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models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions
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foundations of data science and AI. The selected candidate will be part of the Foundations Cluster of CIDSAI and will collaborate closely with Professor Saurabh Ray, Professor Keith Ross, and Professor Pierre
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
-Lagrangian (CEL), Material Point Method (MPM), or advanced Finite Element Methods). Physical modeling of tunnel excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments
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Description As part of the Electrical Engineering program of the Engineering Division and the Center of Artificial Intelligence and Robotics at NYU Abu Dhabi the group of Prof. Kostas J