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of novel AM materials on corrosion response of key component and develop a model to predict their behaviour. To address the goals set for tackling international climate change, the power sector needs
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the biological basis of these associations remains poorly understood. Past efforts have investigated the link between obesity and the primary tumour, but these analyses relied on data derived from bulk tissue
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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required to meet their climate neutrality targets (see: https://up2030-he.eu/ ). The University of Cambridge is leading activities on data governance and city-wide carbon management. The post holder will be
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Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
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inflammatory pathways. The successful candidate will be analysing how these pathways alter in different dementia patient datasets aiding in understanding how inflammatory response differences reflect disease and
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using a range of geoelectrical techniques, GHG soil flux measurements and associated soil-based analyses, as well as analysis of ecosystem GHG fluxes and remotely sensed data. We will support the PhD
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and testing new bioinformatic pipelines to analyse important public health pathogens. The team comprises research software engineers, bioinformatic engineers, biostatistical researchers, clinical
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Competitive athletes of various standards are continually striving to enhance exercise performance outcomes. A common approach to enhance exercise performance and post-exercise recovery is the
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skills are key. You will be working alongside the team to analyse existing case studies, organise and run a series of interdisciplinary round tables, develop a set of resources and write reports. You will