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ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each
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. The aim of this project is to determine how ppRHOs underpin this ecosystem service. Thus, the PhD candidate will physiologically characterise ppRHO knock-in diatom cell lines and investigate how those
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]. This PhD is about investigating whether the presence of the ABBS bacteria is directly causing prostate cancer development. Seven potential ways in which specific anaerobic bacteria could result in cancer
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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prediction model – the Met Office Unified Model – and in the use and analyses of the latest climate model output. Person Specification A degree in a quantitative science. An interest in data analysis and
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lead to the allocation of energy and nutrients towards AMR instead of biomass growth. This PhD project will unravel the mechanisms driving AMR in pioneer and extreme soil environments in the Arctic
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contribute to the management and conservation of the commons. Training The PhD candidate will be based at UEA, and, as such, will benefit from the Aries DTP training (e.g. summer and winter schools, ad hoc
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spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine
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, the race is on to understand how these DNA changes affect disease progression and post-operative recurrence risk. This PhD project uses CRISPR/Cas9 to examine risk variants in patient-derived cells and