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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
operate in spectrum environments that are scarce, heterogeneous, and highly dynamic, which makes the traditional static and centralised spectrum management strategies inadequate for ensuring reliable, low
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. This project will explore PrfA inhibition as an anti-Listeria strategy, building on the host group’s fundamental discoveries on the molecular mechanisms of PrfA regulation. The Vázquez-Boland group recently
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courses and conferences. Research Environment: The Werner and Waudby labs at UCL provide complementary expertise in viral molecular biology, structural biology, and NMR spectroscopy. The student will work
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to enhance ecological resilience and community wellbeing. The project will examine how the configuration, connectivity and condition of these dynamic water systems, and their surrounding land cover, influence
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investigate new strategies to protect and regenerate nerve cells after SCI by combining molecular biology, pharmacology, and gene therapy in translational models of central nervous system repair. The work will
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Alzheimer’s, Parkinson’s, motor neuron disease, and related disorders. This project aims to understand the molecular mechanisms governing ESCRT dependent aggregate clearance versus extracellular vesicle (EV
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) under the supervision of Dr Elton Santos, and Dr Nina-Juliane Steinke. This is a joint programme between both institutions, which combine advanced modelling methods (spin dynamics, quantum approaches, AI
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to effectively drive biodegradation traits into contaminated soil communities. Methodology The successful applicant will use a combination of molecular and environmental microbiology, bioinformatics and
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cutting-edge molecular techniques and generate gene knockouts to identify new enzymes and pathways involved in this process. Finally, the PGR will utilise plant infection models and high-resolution
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compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change, within a GPU-accelerated solver to reduce simulation turnaround times. You will develop and