11 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation"-"Simons-Foundation" positions at MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Data Engineering and Data Science to lead a course providing the practical foundation necessary
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Computer Vision and Image Processing to lead the course, "Machines that see," which introduces
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6 Jan 2026 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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Description The Department of Human-Computer Interaction (HCI) at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for an open-rank, tenured/tenure-track faculty
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, sex, national origin, protected veteran status or disability. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405715/human-computer-inte… Requirements Additional Information
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23 Dec 2025 Job Information Organisation/Company MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2
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". This course introduces students to Natural Language Processing (NLP) and Information Retrieval (IR), providing a foundational understanding of how computers process, analyze, and retrieve human language data
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on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore
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Qualifications This position requires a Ph.D in Marketing, Business Administration, Public Relations, Data Analytics, or a closely related field. Demonstrated expertise in digital marketing, social media analytics
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principles for AI-driven projects. The course emphasizes applying both traditional and agile methodologies to the unique challenges of projects involving AI technologies, including data management, ethical