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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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. Research on this project will involve catalyst design, setting up small-scale hydrogenation reactions in batch and continuous flow, immobilisation of enzymes, combination of enzymes with metal nanoparticle
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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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of performing in vivo gene delivery techniques in the rodent brain, such as viral delivery. Previous experience of developing custom analysis scripts for quantifying aspects of synaptic inhibition. The closing
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analysis scripts for quantifying aspects of synaptic inhibition. The closing date for applications is 12 noon on Friday 19 September 2025.
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the polymers will be investigated to discover earth-abundant and synergic metal combinations and to elucidate the minimum energy inputs to enable effective polymer production. The research will involve catalyst
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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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analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
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programming skills for data analysis. Excellent organisational and communication skills as well as ability to work as part of a team are essential. This is a fixed-term appointment available for 1 year. If you