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deep learning to work with a team from multiple disciplines of machine learning and artificial intelligence to develop multimodal large language models with capabilities such as conversational
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background in applied empirical methods, coupled with a keen interest in pursuing a quantitative marketing PhD degree with a focus on machine learning or structural modelling. Responsibilities: The successful
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements
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Applications, Database Systems, Web Applications, Wireless Communications, Computer Communication and Networking, Cyber-Physical Systems, Cyber Security, Internet of Things, AI and Machine learning, Pattern
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learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical
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in Python programming would be preferred) and familiarity with the LINUX platform. • Experience in machine learning, deep learning, and data analytics will be beneficial. • Proficiency in written
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in Python programming would be preferred) and familiarity with the LINUX platform. • Experience in machine learning, deep learning, and data analytics will be beneficial. • Proficiency in written
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to the research program. Job Requirements: A PhD in Computer Science or relevant fields. Strong background in deep learning and neural rendering. Excellent programming skills to implement and deploy deep learning
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research. Job Requirements: A PhD in Computer Science/Engineering, AI or related areas. Strong background in machine learning and computer vision. Prior experience in multi-modality learning, multimedia
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interaction Design algorithms for dialogue systems Integrate commonsense knowledge representation and reasoning in the system Job Requirements: Possess a PhD in Computer Science or related disciplines Strong