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focuses on combining Tip-Enhanced Raman Spectroscopy (TERS) with artificial intelligence to enable automated structure discovery of organic molecules. By training machine learning models on datasets
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energetic (radiative) impact across the longwave spectrum? (3) Can our radiative transfer models successfully match simultaneous observations of the longwave energy spectrum at the surface, within
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flexible working practices, including a hybrid working model, where employees can split their working time between the office and home, support our belief that this balance brings long-lasting benefits
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-on experience with rodents, including handling, regulated procedures, and colony management, as well as experience in research with in vivo mouse models to study lung inflammation (including measurements of lung
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Environment Research Council (NERC) and the Advanced Research + Innovation Agency (subject to contract negotiations), in the atmospheric chemistry-climate modelling research groups of Prof Alex Archibald, Prof
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“Good Clinical Practice”). Contribute to the preparation of recruitment materials (information leaflets and consent forms), interview topic guides and the study protocol. Conduct telephone “check-in
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research group. The successful candidate will benefit from building upon novel datasets, exciting preliminary findings, and using unique experimental model systems. Techniques will include multiple imaging
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pathogens as a model system. There are two post-doctoral research positions and one PhD studentship associated with Dr. McDonald’s UKRI Future Leader Fellowship, which will explore the cell biology
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remotely. Skilled in descriptive analysis, data modelling and graphic interfaces. Demonstrated expertise in analytical and statistical tools. We support flexible and family-friendly working and are open to
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occasional support in other areas within the school. You will help and assist in developing and testing of aerodynamic models using various design & manufacturing equipment and carry out relevant tests in