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coordination capabilities essential for operations in complex urban environments. With advancements in 5G mobile networks, Artificial Intelligence (AI)-driven navigation, Internet of Things (IoT) connectivity
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biology, and will take their newly designed and synthesised compounds into cellular models of disease. The project would particularly suit a student who has an interest in working in synthetic medicinal
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, yet little is known about the structure or function of most of these complex metabolites. The PhD student will analyse large metagenomic datasets from bacteria associated with patients to discover new
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the model liverwort Marchantia polymorpha. In particular, we focus on interactions with fungus-like filamentous oomycete phytopathogens belonging to the genus Phytophthora, which provide a unique platform to
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model to resolve wheat planting strategies that can be used to safeguard biodiversity and suppress rust outbreaks. Training You will be embedded in the international and multidisciplinary Saunders Lab
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extending the existing VL dataset. Design and evaluate DL models capable of classifying marine litter types using multispectral data, with a focus on achieving robustness to varying spectral channel
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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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model, human organoid technology, cell and molecular biology, confocal microscopy and metagenomic sequence analysis. By deciphering the interactions between AIEC, the microbiome and the intestinal
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preclinical mouse models and stool samples collected from patients with myeloma. In parallel, the project will explore how these changes impact immune cell populations and responses to infection. To do
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with enhanced abilities to spread within complex microbial communities, and to metabolise contaminating xenobiotics. Finally, they will assess the impact of their novel plasmids on the efficiency