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observations and interpretation of such jets, and will become part of the international ‘X-KAT’ team using new data from the MeerKAT radio telescope to study these jets. They will furthermore become a core
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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Demographic and Health Surveys, the Generations and Gender Survey, the International Public Use Microdata Series, and the Human Fertility Database, among others, and linking these data with other databases
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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will have strong links to the experimental synthesis, diffraction and electrochemical work performed in the overall project. Previous experience in computer modelling of lithium battery cathodes and a
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and Mind Building, South Parks Road, Oxford Applicants must hold a PhD in Microbiology and/or Molecular biology and will be responsible for providing microbiological data to facilitate the design of new
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of cells and modules in realistic drive cycle scenarios. This activity will link closely with the design of BMS and cooling systems to maximise the safety of the developed propulsion system. You should
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available data and apply causal inference methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease