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-edge research and development in EIT-based tactile sensing, machine learning for real-time state estimation, and sensory-motor control optimization for robotic systems. Funding is available for this post
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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
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, science and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation
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of this postdoctoral research position is to support the design of elastic aircraft with a combination of aerodynamic tools of different fidelity, and the development of machine learning technologies in the context
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and the economy. The postholder will be responsible for undertaking research in generative AI and machine learning methods for audio generation and audio-related multimodal content generation, including
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variety of related subject including: Machine learning and deep learning techniques, preferably with a focus on generative models (e.g. GANs, VAEs, LLMs, VLMs,). Robust data analysis methods and tools
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transport, health, energy, manufacturing, and smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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should have, or be close to completing, a PhD in Statistics, Probability, Machine Learning or a related discipline. You will work directly with the investigators to undertake and support research necessary