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Field
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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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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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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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out rigorous and impactful research into the computational mechanisms of human learning using deep neural network models, and disseminating the findings within the research group, across the wider
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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. · Demonstrable ability to present research findings at meetings or conferences and to communicate complex information to specialists within the wider academic community. · To have experience in
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, to contribute to cutting-edge research on the early detection and prevention of primary intestinal tumours using animal models of ageing. The project involves a range of advanced techniques, such as complex mouse
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transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation, design, optimisation and control
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mechanisms and signalling consequences of reactive small-molecule metabolites in organ regeneration, leveraging state-of-the-art chemical biology tools and established tissue injury models, in particular
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R Holland, a preclinical research group with expertise in primary headache disorders, electrophysiology, disease modelling, behaviour, chemogenetics and in vivo neural imaging technologies