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expertise. We link fundamental materials research with manufacturing to develop novel technologies and improve the science base of manufacturing research. The Through-life Engineering Services (TES) Centre
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, the PhD student will develop a molecular-level understanding of what governs selectivity in complex liquid-phase environments. The project is placed in a broader context of valorising waste-derived
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negative effects from beef production on the environment. Building from this developed understanding, the student would then look to work with farmers and advisors to develop a decision support framework
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on their interests student will have the opportunity to develop their own ideas to minimise the impact of microplastics and plastics within the digestate. Entry requirements At least UK equivalence Bachelors (Honours
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alternative. The project will scale-up selected method(s) to prepare evaluation samples. The project requires skills in continuous flow chemo- and biocatalytic methods, so, unusually, the project involves a
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that TEs fundamentally shape genome function and evolution by affecting gene expression, rewiring regulatory networks, and driving change in chromosome size and structure. In recent years, research
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) project, which aims to develop the tools required for assessing the error-reasoning ability of AI systems and to thereby foster the careful and effective introduction of AI agents into the research process
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. Their performance, however, is strongly influenced by microtexture, crystallographic orientation clusters that develop in the material during processing. Controlling microtexture is critical for improving mechanical
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– Developing robotic systems embedded within architecture, encompassing swarm robotics, custom actuator design, modular robotics, safety-critical control, human–robot collaboration, and distributed manipulation
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modifying geometry and re-running CFD, the research will develop models that map aerodynamic requirements directly to 3D blade geometries and associated flow fields. The project builds on a proven 2D inverse