105 structural-engineering "https:" "https:" "https:" "Multiple" positions at University of Bristol
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suitable area of ML/AI applied to engineering problems relevant to the School; for example aerodynamics, fluids, aeroacoustics, composite structures, structural mechanics, flight dynamics, control. A proven
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We are seeking an accomplished Assistant Professor in Financial Technology to join the University of Bristol’s Mumbai Enterprise Campus (MEC) – a flagship transnational education initiative
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comfortable liaising across multiple teams and differing stakeholders, including industry, academics and people within the maker/hacker community. They will work closely with several IT teams to develop and
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that can deliver complex, high-integrity and scalable reactor components. This PhD project will focus on the engineering of additive manufacturing (AM) to support the design and fabrication of resilient
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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: H
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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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at the University of Oxford, the British Geological Survey, and with various external partners, including government bodies and industry as part of the DarkSeis (https://geophysics.gly.bris.ac.uk/DarkSeis/index.html
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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
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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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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