66 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions in United Arab Emirates
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and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include
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Computing Security. The candidate is expected to do cutting-edge research in multiple of the following areas, therefore prior expertise in these topics are highly encouraged: Quantum Machine Learning (QML
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inequalities Markov processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic
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to teach an undergraduate course focusing on essential principles of effective teamwork, leadership, communication, and conflict resolution, with a special emphasis on the role of Human-Centered AI in
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to teach an undergraduate course, "From Vision to Execution," focused on core project management principles for AI-driven projects. The course emphasizes applying both traditional and agile methodologies
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to teach an undergraduate course introducing the application of Artificial Intelligence in Marketing, Social Media, and Public Relations. This course will focus on practical skills, including how AI can be
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Free probability theory High-dimensional probability, concentration and functional inequalities Mathematical aspects of machine learning and deep neural networks Free Probability aspects of Quantum
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that the candidate has prior research experience in one or more of the following research topics: Free space optical communication Visible light communication DSP for coherent optical communication Machine learning
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exercises, and assessments aligned with current industry standards. Creating an engaging, application-oriented learning environment. Mentoring and advising students in course projects and applied data
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applications, including search engines, chatbots, and text classification systems. It will also present and refresh the relevant deep learning architectures on which recent LLM architectures capitalise