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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The postdoc will
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Claudia Monaco’s research group at the Kennedy Institute of Rheumatology. In this role, you will apply single cell biology and cell signalling techniques combined with in vivo and in vitro models
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The Opportunity: We are seeking a post-doctoral fellow to develop ‘genome surgery’ approaches to correct patient-modelled variants in cell-based and in vivo models as part of our recently launched
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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The postdoc will
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also highly valuable. The successful candidate will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to
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on evaluating the abilities of large language models (LLMs) of replicating results from the arXiv.org repository across computational sciences and engineering. You should have a PhD/DPhil (or be near completion
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will be expected to work on estimating dynamic models of medical spending and savings and is expected to publish in high-impact academic journals, and to contribute to the collegial and intellectual life
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the implications of connecting wearable computing devices such as smart glasses to artificial intelligence large language models. The exact contribution of the post-holder will depend on their background and
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an industry partnered project for translational drug discovery. The role will involve analysing large scale omics and spatial datasets from both primary patient samples and advanced in vitro model systems
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to: Use gut models to explore new microbial approaches associated with cognitive function and gut health in military personnel Develop new probiotic microorganisms and synbiotic variants, and Evaluate (in