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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
generation of wireless communication (6G) to extend network coverage, supporting diverse data-intensive applications such as immersive extended reality and autonomous systems. However, aerial 6G networks will
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monitoring, and autonomous systems. However, most advances rely on large datasets and computationally intensive architectures that are impractical for scenarios constrained by limited data and resources
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barriers: a large input modality gap, as network data consists of diverse, non-textual formats like time-series metrics, graphs, and scalar values; the inefficiency and unreliability of answer generation
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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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that you apply early as the advert may be removed before the deadline. The cryptographic protocols used to secure communications and data are safe under the assumption that problems like integer
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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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SMEs to large global manufacturers. For more information, please visit the MTC website: https://www.birmingham.ac.uk/research/centres-institutes/research-in-mechanical-engineering/sustainable
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Science, or a closely related field. Proficiency and interest in programming languages such as Python, MATLAB, or similar, used for large-scale data processing and model development. Excellent written and
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, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate
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mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas-phase to microsolvation