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, compression, learning, and inference for classical and quantum data exchanged through classical and quantum networks. The objective of the PhD study is to explore and address research and design challenges
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cooperative perception setting. Semantic-Aware Compression & Network Information Theory: Derive new rate–distortion–reliability bounds, design adaptive codecs that prioritise safety-critical bits, and close
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in AI: Generative Diffusion & 3D/4D Scene Synthesis: Re-design diffusion and NeRF-style models so multiple agents jointly reconstruct a scene. Semantic-Aware Compression & Network Information Theory
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cancer in patients at the time of diagnosis. The work is laboratory based but will involve bioinformatic analysis of the collected data. As a Senior Research Associate you will contribute to the research
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This post is full time (35 hours per week – compressed or part time hours may also be considered) and has funding available for up to 3 years in the first instance. Relocation assistance will be
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, electrical & electronic engineering, or equivalent. Background knowledge in signal representation/processing, visual data compression, and data-driven and machine learning/analysis. Prior research experience
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. This will involve investigating techniques for model compression and efficient inference to enable on-board condition monitoring directly at the wind turbine, reducing data transmission requirements, central
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candidates in applying for institutional, national, or international funding opportunities. References For more information or to apply, please contact Dr Rory Cooper at r.l.cooper@sheffield.ac.uk Lab website
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experimental data and iterating on experiments based on the results. Design and manufacture testing fixtures that enable reliable compression of samples. Weekly 1-on-1 meetings with Dr. Harrison to discuss the
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of data from an old system to new, reduce duplicate files that exist within data, institute file compression to archive older files. Manage a large data transfer between institutions. Explore use of RCC