29 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" 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 to teach an undergraduate course focusing on essential principles of effective teamwork, leadership
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, "From Vision to Execution," focused on core project management
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for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course introducing the application of Artificial Intelligence in Marketing
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-oriented learning environment. Mentoring and advising students in course projects and applied data initiatives. Collaborating with faculty to advance teaching quality and curriculum innovation across
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the relevant deep learning architectures on which recent LLM architectures capitalise on (including transformers). This course introduces the fundamental LLMs data and architecture pipeline. Responsibilities
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of innovation in the realms of large language models, their underlying mechanisms and responsible applications, dialog systems, chatbots, Arabic NLP, machine translation, efficient and low resource NLP, speech
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members over the coming year. We invite candidates at all levels (Assistant, Associate, and Full Professor) to apply, in areas including, but not limited to the following: Computer systems Databases
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for the future of human society. The fields of research are: foundation models for robots in various real-world environments; reinforcement learning of robot control for manipulation and mobility in unstructured
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Ae Village, Scotland | United Kingdom | 2 months ago
Arab Emirates is considered an advantage. The faculty shall deliver world-class education and student experience with innovative approaches to teaching and learning. The faculty will engage with industry