173 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at NEW YORK UNIVERSITY ABU DHABI
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collaborators in material science. The developed technologies will be utilized to develop digital twin and soft robot-assisted simulations in the areas of brain machine interaction, wearable haptics, and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
high-impact publications and conference presentations. Mentor graduate and undergraduate students involved in related projects. Candidates must hold a Ph.D. in Civil Engineering, Computer Science, or a
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for kinetics and modeling efforts. Conducting field incubations to deploy and retrieve PLA samples in UAE environments. Assisting with manuscript preparation, data management, and project reporting to both
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have a PhD in Computer Engineering, Computer Science, or Electrical Engineering. Expertise in Quantum Physics is a plus point. Applicants with a PhD in Quantum Physics are also welcome, but they should
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Description The Center for Astrophysics and Space Science (CASS) at NYUAD is looking to appoint new independent fellows working in one (or more) of the following center's research fields Extrasolar
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technologies and data sources; as well as the combination of traditional traffic flow theory concepts with new empirically derived models and data science ideas. Applicants must have received a PhD in
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, including electrically conductive membranes. The successful candidate will work under the supervision of Professor Raed Hashaikeh in the Mechanical Engineering Department, collaborating with a
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science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university
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Algorithms. The candidate is expected to conduct research in computer science focusing on the combinatorial aspects of quantum experiments and quantum algorithms for computational geometry problems. Prior
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
performance and ground risks in variable and uncertain geologies. The researcher will be embedded in a team that spans infrastructure resilience, computational geomechanics, and data-driven risk evaluation. The