65 professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" positions in United Arab Emirates
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
research environment. About 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 Sciences
-
Professor at NYUAD. They will be internationally recognized scholars with proven leadership experience and intellectual breadth to guide a diverse division covering multiple disciplines. The successful
-
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
-
systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms
-
Artificial Intelligence in Action - Open Rank Faculty Positions Mohamed bin Zayed University of Artificial Intelligence: Academic Appointments: School of Computing: Masters in Applied AI Location
-
, conferences, and knowledge exchange activities. Support research-informed teaching and interdisciplinary initiatives. Academic Service Contribute to programme development, quality assurance, and accreditation
-
the Career Development and Employer Relations Postgraduate Team, the Undergraduate Program Management team and Undergraduate Student Development Coach and other academic and professional services teams
-
of interest include: structural 3D printing (metals, concrete, and composites) computational mechanics and structural topology optimization vision-based structural health monitoring autonomous and drone-based
-
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
-
candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital preservation of cultural heritage. The project focuses on state-of-the-art