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Award Summary Fully funded studentship with a tax-free annual living allowance of £24,000, a research training grant + UKRI fees paid. Overview There is a need for an easy-to-use testing device to detect the presence of human faecal matter rapidly and sensitively in water. Potential applications...
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potential to revolutionise aviation leading to the design of the next generation of sustainable and environmentally friendly aircraft. It will also inform research strategies and technology roadmaps including
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. There are many possible approaches, but it is envisaged that the research will examine two or three different kinds of hearing differences. Perception-influenced engineering for e-mobility and future soundscapes E
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View All Vacancies Engineering Location: UK Other Closing Date: Monday 30 September 2024 Reference: ENG182 Supervised by Rasa Remenyte-Prescott and Rundong (Derek) Yan (Resilience Engineering
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or international equivalent in a subject relevant to the proposed PhD project (usually chemical engineering or chemistry, but please get in touch if you think your qualification may be relevant). Enthusiasm
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Supervised by Rasa Remenyte-Prescott and Rundong (Derek) Yan (Resilience Engineering, Faculty of Engineering) Aim: To develop a mathematical modelling framework to assess and optimise offshore wind
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optimisation of environmental objectives with detailed modelling of bidding decisions. The candidate will require a 1st or 2:1 degree in Engineering, Physics, Mathematics or similar discipline with strong
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(SOEC) has emerged as a promising technology for hydrogen production, renewable energy storage and CO2 mitigation. In addition, co-electrolysis of carbon dioxide with steam in SOEC produces synthetic gas
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the significant global challenges and opportunities facing the land-based sector such as the climate change crisis, biodiversity loss, adoption of technology, and thriving rural economies. The RAU is set in
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of technology is, to some extent, reducing the carbon impact of otherwise high-impact sectors whilst simultaneously stimulating increased reliance on the energy-sapping processes of data rendering, server farms