115 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions at NEW YORK UNIVERSITY ABU DHABI
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Description The Communication Theory and Technologies (CT&T) Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a Post-Doctoral Associate. The candidate
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, Structural, Mechanical, or Material Engineering. Other related field such as Computer Science, Nuclear Engineering, and Material Science are also welcomed. Required qualifications include: strong communication
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14 Oct 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Engineering Engineering Researcher Profile Established Researcher (R3) Country United Arab Emirates
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Description The Quantitative Synthetic Biology group (https://netb.io/ ) at New York University Abu Dhabi seeks highly motivated and collaborative applicants to fill a Research Scientist position in
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Description The Applied Interactive Multimedia laboratory in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a motivated research or postdoctoral associate to lead the
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completing a bachelor’s or master’s degree from a recognized institution Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field Demonstrable research
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
) for Smart Infrastructure Management Systems to work under the supervision of Professor Borja García de Soto, director of the S.M.A.R.T. Construction Research Group and Co-PI in the SHORES Center
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Description The Laboratory for Computer-Human Intelligence (CHI-lab, https://www.x-labs.xyz ) in the Division of Engineering, New York University Abu Dhabi, is seeking a highly motivated
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structure determination using electron or X-ray crystallography. Candidates must have substantial experience in crystallography, specifically in the structure solution and refinement of small molecule
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the areas of Artificial Intelligence (AI) for materials science, with an emphasis on structure-property-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates