266 computer-security "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Keele University" positions in United Arab Emirates
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lies at the intersection of computer vision, multimodal learning, and robotics, advancing next-generation embodied agents that interact naturally and safely with humans and their surroundings. The lab
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PDF format. If you have any questions, please email Dr. Mahmoud Rasras at mr5098@nyu.edu . The terms of employment are very competitive and include housing and educational subsidies for children
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-inflammatory, or immunomodulatory), and work closely with computational collaborators to prioritize microbial strains and BGCs for experimental characterization. In addition, the fellow will maintain accurate
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) Application Deadline 18 Apr 2026 - 00:00 (UTC) Country United Arab Emirates 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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questions, please email Dr. Kemal Celik at kemal.celik@nyu.edu . The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted
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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
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contact information for at least two references, all in PDF format. If you have any questions, please email Dr. Mostafa Mobasher at mostafa.mobasher@nyu.edu . Applications may be submitted on https
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in PDF format. If you have any questions, please email Dr. Tarek Abdoun at tarek.abdoun@nyu.edu About NYU Abu Dhabi https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and
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8 Jan 2026 Job Information Organisation/Company NEW YORK UNIVERSITY ABU DHABI Research Field Computer science Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United
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Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in