76 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions in United Arab Emirates
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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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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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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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decision process for innovation, collecting neurophysiological and other relevant data, programming and analysis routines, as well as quantitatively analyzing the data collected. Candidates must hold a PhD
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at the end of the term. For more information, please visit 19 Washington Square North Faculty Fellowships . For questions, please contact 19wsn.fellows@nyu.edu . EOE/AA/Minorities/Females/Vet/Disabled/Sexual
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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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Description The Data Science & AI research lab at New York University Abu Dhabi is seeking postdocs who are passionate about any or all of the following: Data Science, Computational Social Science
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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