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Field
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Met’s Doctoral College community, benefiting from specialist training, collaboration opportunities, and professional development. This is an exciting opportunity for a motivated researcher passionate
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security, deep learning, programming principles, modelling methods, architectures, infrastructures and tools for the design and development of modern, medium to large scale, software systems. The academic
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opportunity to contribute to the development of next-generation construction materials that are both low-carbon and climate-resilient. The research will focus on designing and testing functional materials
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, soil evolution, and biodiversity. Using these insights, you will develop a classification system and decision-support framework to guide practitioners in selecting plants and designing rain gardens
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the development of a multi-layer hydrodynamic model capable of representing key three-dimensional flow processes in riverine and estuarine systems. This model will be coupled with advection–diffusion–reaction
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health and the development of chronic diseases including some cancers, but the role of the gut microbiota in modulating treatment responses and upper gastrointestinal cancer progression remains unclear
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-based process. Project aims and objectives The project aims to improve the efficiency of the plasma nitrogen fixation process through the development of tailored plasma-catalysts. Objectives: Design
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for publication, conference participation, and industry collaboration. As part of our inclusive and supportive doctoral community, you will benefit from tailored training, mentorship, and professional development
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the intersection of ecology, machine learning, and sustainable land management, the research will combine field data collection, deep learning model development, and stakeholder co-design to support biodiversity
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development, quality assurance, and wider academic responsibilities within the Accounting & Finance programme. You should have a PhD in the relevant areas and with some years teaching experience in Higher