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conditions as well as in relevant real-world environments, Design and conduct listening tests to investigate the subjective preferences of users under various conditions, Develop DSP algorithms to be
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, and machine learning. The successful candidate will support the Principal Investigator (PI) in conducting high-quality research through algorithm development, numerical simulations, and scientific
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the interface between the classical and quantum worlds. You will design QEC codes suited to realistic hardware, develop the decoding algorithms that make them practical, and map the trade-offs between reliability
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machine learning algorithms to support the traceability of the beef’s geographical origin. She/he will participate in all stages of the project, including planning and supervision of sample collection and
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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algorithms that enable artificial agents to acquire skills through interaction (feedback) with humans. The objectives include: the development of reinforcement learning algorithms; possibly the study of
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reliable comparative database. Finally, the candidate must be able to develop and apply classification algorithms for discriminating between asbestos-cement roofs. Where to apply Website https://xup
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, professional practice, and pedagogy. Relevant areas for research specialization include but are not limited to AI-mediated advertising and persuasion, human-AI interaction, generative AI, algorithmic and
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Developer- AI Literacy and Policy Fundamentals: Understanding and Mitigating Algorithmic Bias  Location: Remote (U.S. based only) Division: Rabb School of Continuing Studies in collaboration with the Heller
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
include: 1. Designing and implementing software components, data structures, algorithms, APIs, and research workflows using Python and related technologies. 2. Developing and operating containerized