82 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" "https:" positions at University of Leeds
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of Medicine, which is internationally recognised for its work in cardiovascular science, thrombosis, fibrin clot structure and inflammation. The project will be based in the Leeds Institute of Cardiovascular
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pipelines and associated corrosion threats in dense phase CO2 streams with impurities. Working with regulators, standardisation and certification bodies, technology developers and industry, the models will be
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Faculty of Engineering and Physical Sciences EPSRC Project Proposals 2026/27 (jobs.ac.uk) Project Link via the 'Apply' button above Project Title: Machine Learning Driven Corrosion Modelling in Bio
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of the University’s civic work in the region. The focus of this initial work will be to map pathways to employment in the construction sector and establish a framework to expand this to systems mapping
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multiple service areas? Your role will be to coordinate the financial workstreams of our Specialist Commercial Services function, including (but not limited to) the Patient Engagement in Clinical Development
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the creation of our strategic enterprise architecture approach and take responsibility for developing specific elements of the University’s enterprise, business and technology architecture. You will work closely
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enzymes, SleB. Bacterial spores are among the most pernicious cells in nature. Formed as survival structures in response to nutrient starvation, their ubiquity and extreme resistance to heat and other
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Number of Positions: 1 Eligibility: UK Only Funding: School of Chemistry Studentship in collaboration with the Schools of Mechanical Engineering and Chemical & Process Engineering, in support of
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colleagues, stakeholders, students and partner universities. Your role will be varied and complex and you will be required to operate flexibly across multiple projects. Please note that due to Home Office visa
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studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with preoperative MRI/CT scans