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glacial processes, and coupled hydrological processes or earth system modelling of terrestrial carbon cycle processes. As well as experience of large dataset collation and analysis, including geospatial
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. The project involves working in the areas of main group and transition metal organometallic chemistry and taking the lead in the generation of a range of metal-metal bonded systems. Find out more about the
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have a particular focus on the social science component of the project. This will include stakeholder mapping, institutional analysis and engaging with theories of environmental justice/equity and place
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analysis, transform and cultivate Arabidopsis thaliana plants and contribute to submergence tolerance experiments and analysis. Applicants should possess experience in most or all of the relevant techniques
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progress, challenges, and outcomes to project supervisors and group leads. You will perform quality control, processing, and statistical analysis of large-scale genetic (genotyping) and proteomic (Olink
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expected to be bioinformatic in nature. Applicants must have a PhD in a relevant subject, experience of macrosynteny analysis and phylogenetic analysis of gene families, and a thorough knowledge of animal
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Atmospheric Dynamics group in AOPP which looks at the role of dynamical processes globally in weather and climate variability, predictability and change. The role will involve detailed analysis and dynamical
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this. Much of this research involves the analysis of cells and tissues isolated from in vivo cancer models. You will be heavily involved in supporting several different analysis pipelines within the lab. You
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to determine the activators of inflammation in atherosclerosis. You will identify and develop suitable techniques, and apparatus, for the collection and analysis of data (e.g. flow and mass cytometry, confocal
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and organise data from public sources, surveys, and institutional datasets, in both Chinese and English language, conduct advanced text analysis using NLP techniques, and apply and fine-tune LLMs