71 coding-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Essex" uni jobs at University of Bristol
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-on developing new features, driving releases, and maintaining high standards of code quality. Alongside the technical work, you’ll represent BOMNADO externally — engaging with the open-source community through
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about the CFM Lab and the ONE Group can be found at: https://hennessymatt.github.io/ and https://rochat-lab.com/ . This post is available for 12 months. The ideal start date is 2 March 2026 but there is
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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 with fixed funding until 31/03/2028
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circumstances. Is comfortable using digital learning tools and platforms such as Python, VS Code and Tableau. Holds, or will soon complete a doctorate in Engineering, Physics, Computer Science, Mathematics or a
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recognised teaching qualification. You can apply for the role at the below link - https://emeritus.darwinbox.in/ms/candidate/careers/a6981a4de7129c To complete your application, you will be asked to submit
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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/35hrs per week Grade: Grade M - Professorial
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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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tools for the prediction of composite manufacturing processes. You will work on development of algorithms, custom written codes, application of commercial finite element software and development of user
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@bristol.ac.uk 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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languages, with a track record of writing clean, maintainable code. You are comfortable working with numerical models, simulation workflows, HPC environments or data-intensive pipelines. You are proactive