50 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Dr"-"UCL" positions in United Arab Emirates
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motivated Postdoctoral Associates to join our research team in the field of AI for Precision Medicine and Therapeutics. They will work on developing Artificial Intelligence (AI) and network data science
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teaching faculty in Natural Language Processing (NLP) & AI to deliver and manage the course, "The Language of AI". This course introduces students to Natural Language Processing (NLP) and Information
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to deliver Internships, Thesis and academic projects such as the Hult Business Challenge (HBC) Support faculty in the use of myCourses (Canvas-based LMS). Maintain accurate faculty data and ensure course pages
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order to collect annual employment data and document their successes for rankings, employability and accreditations. Key Requirements Belief in and desire to participate in the Hult mission for educating
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AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer
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psychology, computational social science, computer science, information science, data science, or a closely related field. The appointment will begin September 1, 2026, subject to final budget approval and is
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assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family. About NYU Abu Dhabi NYU Abu Dhabi
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& Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Marketing, Business Administration, Public Relations, Data
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to the unique challenges of projects involving AI technologies, including data management, ethical considerations, and integrating AI tools for decision-making and risk management. Responsibilities include
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requires a Ph.D in Computer Science, Artificial Intelligence, Data Science, or a closely related field. Demonstrated expertise in Deep Learning, Neural Networks, and Machine Learning. Experience with popular