247 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" positions in United Arab Emirates
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11 Nov 2025 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Engineering Mathematics Researcher Profile Recognised Researcher (R2) Established
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8 Nov 2025 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Biological sciences Computer science Physics Researcher Profile Recognised
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(R1) Country United Arab Emirates Application Deadline 15 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by
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Emirates Application Deadline 20 Nov 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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) Country United Arab Emirates Application Deadline 17 Dec 2025 - 00:00 (UTC) Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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8 Nov 2025 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage
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until the position is filled. About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major
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mobilization that drives lipid peroxidation during this unique form of regulated cell death. The successful candidate will participate in an exciting research program exploring the emerging role of ceramide in
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fall 2026 is also possible. Applicants must hold a PhD degree in Mathematics, statistics or theoretical computer science. The terms of employment are very competitive and include housing and educational
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. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and