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Field
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
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initiated by oscillations and vortex-induced vibrations. The long-term survivability of dSPCs in the highly energetic seas targeted for deployment is a concern to engineers and investors. An additional
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matrix functions. These computational problems are central to many scientific and engineering applications, including quantum mechanics, materials science, and weather/climate modelling. Numerical methods
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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of Text Analytics and head of the GATE team part of the NLP group at The University of Sheffield. She is a world-leading researcher in Natural Language Processing. She has been a leading developer of the
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. The project will advance intelligent and resilient navigation systems, contributing to the UK’s Net
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the PromPrint research team, which also includes PI Dr Field, postdoctoral researcher Dr Milan Terlunen, and Research Software Engineer Dr Nicolas Seymour-Smith. PhD Project The PhD project will focus
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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, and implementing the arc model in a commercial software package (Ansys Fluent). The School of Engineering is an Athena Swan Silver award holder and is committed to encouraging, developing and supporting
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public