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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital image
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This is an exciting opportunity for candidates who would like to complete an MSc by Research in any topic that fits within the broad remit of design engineering for which the expert supervisor/s
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Go Home Research Scientist in AI-Driven Enzyme Engineering (KTP Associate) (5358) Share page Project menu Apply now Print Research Scientist in AI-Driven Enzyme Engineering (KTP Associate
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related discipline. This project would suit students with an aerospace or mechanical engineering background. Experience of experimental aerodynamics, particle image velocimetry, flow or aerodynamic
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student, will work at the intersection of 3D scanning, point cloud processing, and industrial metrology to quantify as-built geometry, a task traditionally reliant on manual measurement and expert
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across biological, environmental and engineering disciplines. Through CENTA3, you will also have access to cohort-based training, conferences, placements and wider professional-development
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, and direct combustion of hydrogen and ammonia as a fuel for heat, power and high temperature processing, electrochemical conversion of ammonia and CO2 for energy and sustainable fuels production. The
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engineering. This research addresses an emerging challenge of managing wet organic wastes, recovering resources and dealing with harmful contaminants such as PFAS, metals and microplastics
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applicants from diverse backgrounds who are passionate about manufacturing innovation, materials engineering, robotics and sustainable fusion technologies. Brief outline of area/discipline the project
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in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), Background in aerospace, computer science, robotics, or electrical engineering graduates