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network of professional and practical educators to ensure excellence in program delivery. The Managing Director will drive the expansion and impact of NYUAD’s executive and professional education portfolio
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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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, ECC, SMA) UHPC mix development, material characterization, modeling, and structural design structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology
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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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and assessment strategies aligned with programme outcomes. Support student engagement and academic success through mentoring, advising, and dissertation/project supervision. Contribute to curriculum
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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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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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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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Assurance Lead the implementation and monitoring of academic quality frameworks to ensure compliance with internal policies and external regulators (e.g., KHDA, Ministry of Education, OfS) Oversee programme
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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