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Field
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in mouse models of glioblastoma and brain metastasis to assess therapeutic efficacy and safety. Utilize multidimensional flow cytometry and single-cell technologies to conduct deep immunophenotyping
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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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areas, including generative modelling (e.g. diffusion models, flow matching, self-supervised and autoregressive approaches), causal machine learning, graph neural networks, dynamical systems modelling
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learning models to forecast and visualize heat flow and occupant comfort metrics. Identify key drivers of energy inefficiency, including occupant behaviour patterns and physical heat loss hotspots. Formulate
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will develop and evaluate new approaches to predicting current and future population exposure to such hazards by combining numerical modelling and remote sensing of river migration, with machine learning
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of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied mathematics, physics, engineering or subsurface flow modelling. Enthusiasm
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experimental structural / aerodynamic testing - Experience with wind turbine analysis and modelling methods Funding: 3.5 year Scholarship - minimum tax-free stipend at the current UKRI rate (for 2025/26
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non-relapsing secondary progressive MS – a subgroup currently lacking effective treatments. The work will include • Experimental animal handling and phenotyping (EAE models) • Flow cytometry, histology
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to: build predictive spatial models for VME distribution and resilience under current and future climate scenarios; define and quantify functional traits of VME taxa; identify key functional groups, map
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flow characterisation Nanoparticle synthesis and drug delivery systems Cell culturing and in vitro biofilm modelling Collaborative research across engineering, chemistry, dentistry, and microbiology