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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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security solutions to safeguard graph neural network applications against potential threats. They will explore the use of large language models (LLMs) for chip design and security applications. The candidate
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department excellence at national and international levels. As the language of instruction at UAEU is English, applicants need to have native or near-native fluency in English. Deadline for applications: April
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the use of large language models (LLMs) for chip design and security applications. The candidate will work in a multidisciplinary environment consisting of PhD-level scientists, graduate students and
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Language, Object-Oriented Programming (with Java), Operating Systems, Software Engineering and an introductory course in Data Science/AI. Competitive remuneration and comprehensive employment benefits