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dependencies in Kazakh (among other phenomena). The successful applicant will work with the PI to design the experiments, develop the language materials, recruit participants (native speakers of Kazakh), analyze
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-edge machine learning, including Large Language Models (LLMs), to enhance decision-making and planning in robotic systems. Qualifications: Applicants must have a PhD in Robotics, Control Theory
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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 recognition
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and processing of long-distance dependencies in Egyptian Arabic (among other phenomena). The successful applicant will work with the PI to design the experiments, develop the language materials, recruit
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applicant will work with the PI to design the experiments, develop the language materials, recruit participants (native speakers of Egyptian Arabic), analyze the results, and prepare publications
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English Language - Visiting/Adjunct Teaching Professor or Lecturer Mohamed bin Zayed University of Artificial Intelligence: Academic Affairs Division: Undergraduate School Description Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated...
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development (R&D) of advanced machine learning (ML) models like Transformers, Vision Transformers, Large Language Models (LLMs) and other advanced deep learning models for vision-based applications. The focus
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recognition and tracking, vision and language, large multimodal models, generative AI, responsible AI, 3D vision and SLAM. Applications ofcomputer vision that we target include: robotic vision and embodied AI
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applicant will lead the labs music generation initiative. Our laboratory has expertise in deep learning, including deep reinforcement learning, large language models, and the theory of deep learning
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deep learning, including deep reinforcement learning, large language models, and the theory of deep learning. The candidate will develop DRL algorithms for online and off-line tasks, for robotic