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analytical tools such as R, Python, Power BI, Tableau, and Advanced Excel/VBA into module delivery. Design course content and assessment strategies aligned with programme learning outcomes. Provide academic
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transcript, and the names and contact details for two references. About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in
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September 2025. The successful candidate must have previous research experience (computational and experimental) in the broad area of Nonlinear Mechanics. Applicants must have received a Ph.D. in Mechanical
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data
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independently and take initiative and a desire for learning in a quick-paced environment Required education: Bachelor’s degree Preferred education: Degree related to Social Science or Computer Science, or a
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a social science field, with experience working with survey data, knowledge of social science experiments, and using R. This position requires excellent computational and data management skills, and a
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, cardiovascular, and neurologic disease. These projects entail computational modeling, device design and manufacturing, optimization of chemical, mechanical, and electrical characteristics, and preclinical
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Applied Artificial Intelligence (MAAI) program is designed to address the critical skills gap in Artificial Intelligence applications within industry, both in the UAE and globally. Combining theoretical
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institutional standards. Other InformationAbout NYUAD NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social
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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