58 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in United Arab Emirates
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. Kyriakopoulos seeks to improve the autonomy of Field Robotic systems by fusing control theoretic and machine intelligence approaches. Formal models are directly applied in real experimental facilities. Marine
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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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are up to date, aligned with academic standards, and subject to regular quality assurance reviews. Monitor and evaluate the integration and usage of external learning platforms such as Coursera, Forage
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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
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MIMO communications Analog, digital and hybrid beamforming architectures Reconfigurable intelligent surfaces Machine learning for wireless communications Hardware-constrained signal processing
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applications, dialog systems, chatbots, Arabic NLP, machine translation, efficient and low resource NLP, speech recognition, multimodality (language speech/images/video), and understanding the subtleties
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innovative approaches to teaching and learning. The faculty will engage with industry to discover innovative industry projects, continuously develop the rigor and relevance of the course curriculum, and
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on the AI based robotics research 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
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violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic