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speed, compute efficiency, and scalability with concurrent agents. Enable real-time adaptive learning via human-in-the-loop feedback and reinforcement learning mechanisms in collaboration with other work
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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product renovation and innovation. Shortlisted candidates will attend 2 rounds of interviews - 1 virtual interview and 1 face-to-face panel presentation.
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