267 assistant-professor-computer-science "https:" "https:" "https:" "https:" positions in United Arab Emirates
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presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology
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10 Mar 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Economics Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Application Deadline
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description Mubadala Arabian Center for Climate and Environmental Sciences (ACCESS) at New York University
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renewable appointment based on curricular demand and performance. The Interactive Media program is a Bachelor of Arts major at NYUAD that combines art, interaction design, communications, computer science
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Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep
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creativity are essential. Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected
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research with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD, and half their time on independent research. The selected candidate will receive
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economic development. The role requires strong foundations in mathematics and computer science, including statistical learning, optimization, simulation, and algorithmic reasoning. The successful candidate
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, interdisciplinary environment involving faculty, postdoctoral researchers, engineers, and students. Applicants must hold a PhD in Computer Science, Robotics, Electrical Engineering, or a related field, or have
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to recruit a research assistant to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from