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colon models, multiomics sequencing and bioinformatics, you will explore how ALGAFILL is processed in our gut, its effects on microbiome, metabolism, and potentially health. Culture-based molecular
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language model (LLM) technologies to create advanced, multimodal predictive tools for plant health monitoring. Using imagery from RGB cameras, drones, satellites, and multispectral and hyperspectral sensors
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limited time window) is essentially unexplored. Using state-of-the-art climate modelling (e.g. EUROCORDEX) and techniques to identity triplets offers the opportunity of dramatic new insights into extra
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to work under the supervision of Dr David Duncan. The project will be strongly based at Diamond Light Source (Oxfordshire), the UK’s national synchrotron facility, where the student will be based
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other at policy-relevant scales, while ‘top-down’ estimates, based on atmospheric measurements and modelling, are hampered by large natural fluxes of CO2 between the terrestrial biosphere and the
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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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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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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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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which will cover tuition fees for UK-based students and provide an annual stipend in line with EPSRC recommended levels (£20,780 for 2025/26), with an expected start date of 1st January 2026