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spectroscopy, and gas chromatography. Advice on scientific communication, writing, and data analytics will be provided. Presentation of data at national and international conferences is encouraged and the PGR
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have recently identified a set of five anaerobic bacteria, known as the Anaerobic Bacteria Biomarker Set (ABBS), that, when present, are associated with the development of aggressive prostate cancer [1
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. Experience with programming languages such as Python or R for scientific data analysis is desirable. Further Information: mattwjones.co.uk/research-team-and-open-positions . Entry Requirements At least UK
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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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Primary Supervisor - Dr Tiziana Luisetti Scientific background Climate change related tipping points (e.g. a slowdown in the North Atlantic ocean currents) may pose risks to marine resources (e.g
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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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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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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