103 structural-engineering-"https:" "https:" "https:" "https:" "https:" "https:" "Multiple" positions at University of Bristol in United Kingdom
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and conferences in the field of composite materials, structural mechanics and engineering science. In addition to the research, the role holder may, where practical, contribute to teaching, through co
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supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: J/K/L
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live-imaging, immunohistochemical, and transcriptomic studies of wound repair using zebrafish and arabidopsis models tissue damage/repair. You will join the lab of Professor Paul Martin, (http
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processes. You will be based at Rolls-Royce in Derby, and work on the development and validation of numerical methods for predicting the structural integrity of composite components for aircraft engines in
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). To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog: https
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challenging conditions (see https://tissueresilience.com ). Harnessing powerful in vivo models, our work spans multiple biological scales - linking the molecular cell biology of individual cells to the health
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supports people to achieve their potential, please see our staff blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: J / K
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development and eager to contribute to a pioneering academic venture. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a691c12f9b618a To complete your
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are committed to catalysing an AI transformation in the research and development community. We are seeking two Infrastructure Engineers. In this role, you will work as part of the AI Supercomputing Team to build
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Data Research UK (https://www.sdruk.ukri.org ). The Digging into Digital Footprints project aims to create an open framework to help researchers better understand and use ‘digital footprints data’ in