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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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methods, and associated climate data analyses. You will acquire skills in science communication, project management and collaborative research, and will be involved in a project of critical interest
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data are needed to enhance our understanding of sources, pathways and impact of litter. Cefas is developing a visible light (VL) deep learning (DL) algorithm and collected a large 89 litter category
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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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2026 Additional Funding Information This project is awarded with a 4-year Norwich Research Park Biosciences Doctoral Training Partnership PhD CASE studentship with Inspiralis Limited. The studentship
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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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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