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bacterial factors that predispose to higher infection morbidity including certain phylogenetic groups, sequence types and virulence factors. In this project, the student will investigate the hypothesis
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properties. Fungi are a rich source of such compounds, with notable examples including penicillin, lovastatin, and ciclosporin. Advances in genome sequencing and bioinformatics have revealed that fungal
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to align with their background and interests. Example topics include: Groupoid models for C*-algebras; Cartan subalgebras of C*-algebras; Semigroup C*-algebras; Ring C*-algebras; C*-algebras from algebraic
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considerations in topological dynamics, algebra, or group theory. The research problem will be co-created with the student to align with their background and interests. Example topics include: Groupoid models
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DNA sequence itself. These changes can be inherited during cell division and are particular stable in plants, where they represent the base of an epigenetic “memory”, which remains encoded in biological
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-and-prediction-of-cancer-evolutionary-dynamics-from-cfdna for further information. Project aims Develop a sequencing approach to detect mutations and methylation in cfDNA from cancer patients Build
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PhD Studentship - EASTBIO - The Impact of Diet-microbiome-immune Interactions on Intestinal Function
function. Microbial RNA sequencing will be used for profiling the gut microbiota and identifying functional bacterial pathways, which will be validated by manipulation (i.e. depletion and transplantation
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optimisation for plasmid production Application of LLMs to biological sequence design Microbial genetics and horizontal gene transfer Cross-disciplinary collaboration across synthetic biology, AI, and
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. The framework consists of three key technical innovations. First, a multimodal encoder will be developed to project heterogeneous network data (e.g., time-series, sequences, graphs) into a token-like embedding
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
. WP1: Wireless-aware Data Representations and Embedding (Months 1–12): This WP will first design a structured data representation approach to encode spectrum information into token sequences compatible