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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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mathematical problems for the steady compressible boundary layer flows”. Qualifications Applicants should have a master’s degree or a good honours degree with at least three years of research/relevant work
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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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. Analyzing 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
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models for compressible hypersonic flows; implementing new models and numerical schemes into larger, existing hypersonic CFD codebases; performing verification & validation studies for the new models
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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
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contribute ideas and/ or enhancement of techniques or methodologies. You will analyse and interpret data, write up results and present information on research progress and outcomes. You will also have the
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interpret data, write up results and present information on research progress and outcomes. You will have a postgraduate level degree in international relations or international security (or a related field
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associated with particular projects and will contribute ideas and/or enhancement of techniques or methodologies. You will analyse and interpret data, write up results and present information on research