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component of the King's Faculty of Oral, Dental and Craniofacial Sciences. All Centre Principal Investigators are recognised world leaders in host-pathogen interactions, microbial pathogenesis, mucosal
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programming skills, in depth knowledge of MR theory, and experience with the acquisition and analysis of (preclinical) MRI data, as well as with mathematical modelling and image processing methods. Experience
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Language Models (e.g. Llama3, and Phi4) and Commerical models (e.g. Claude 3.7 and Gemini 2.5) to develop methods for generating simulation models of healthcare pathways in Python. The Health Service
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healthcare datasets to identify novel cancer risk factors, develop prediction models to provide individualised cancer risk using cutting edge methods, and examine the impact of exemplar interventions on risk
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, and co-ordinating study meetings between the research team and other stakeholders. There will be elements of data curation, management, and analysis, supported by a post-doctoral Research Associate and
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neuroscience and plasticity questions, and is imbedded in the wider Cambridge neuroscience environment. The key ingredient is to be passionate about the questions of the lab, to be independent, and a background
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neuroscience and plasticity questions, and is imbedded in the wider Cambridge neuroscience environment. The key ingredient is to be passionate about the questions of the lab, to be independent, and a background
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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presentations as required • To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages • To resolve
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with in vitro and intracellular persister assays, including CFU/survival-based methods and macrophage infection models, with a demonstrable publication record on Salmonella Typhimurium antibiotic