107 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "IFM" "IFM" "IFM" uni jobs at University of Bristol
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growing an area of research. 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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modelling-focused research associate to fully harness the synergy between the mathematical and experimental sciences. More information about the CFM Lab and the ONE Group can be found at: https
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leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
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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 with fixed funding until 31/03/2028
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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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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 Salary: Grade J £43,482
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to students & researchers in their projects or experiments. Broad Expertise: Knowledge in electrical, analogue, and digital electronics, data acquisition, and micro-processing. Regulatory Understanding: Ability
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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in
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We are seeking a committed and enthusiastic Teaching Associate in Financial Technology with Data Science to join our academic community. You will contribute to delivering high‑quality teaching