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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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use and contribute to the Lean4 proof assistant, where we build foundational technology such as a powerful BitVector library, coinductive proofs, an embedding of MLIR's SSA data structures into Lean
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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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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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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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be used to efficiently simulate reservoir behaviour over large spatial and temporal scales. Particular attention will be paid to the role of lateral boundary conditions, reflecting whether geological