21 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs at MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE in United Kingdom
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview
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Deep Learning, Neural Networks, and Machine Learning. Experience with popular deep learning frameworks (e.g., PyTorch, TensorFlow, Keras). Strong commitment to teaching excellence and student-centered
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leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence. The Department of Machine Learning is expanding and we invite candidates at all
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty in Robotics to teach the course, "Rise of the Machines," which offers a comprehensive introduction to
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Science, Artificial Intelligence, Electrical Engineering, or a closely related field. Demonstrated expertise in Computer Vision, Image Processing, and Deep Learning methods. Experience with modern computer vision
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leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence. The Department of Computer Vision is expanding and invites Assistant Professor
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leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence. The Department of Computer Vision is expanding and invites Associate/Full
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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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following areas: Bio and AI: Theoretical and computational biophysics Machine learning and data analysis for biological systems Biomedical imaging and signal processing Molecular modeling and simulations AI
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focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current