37 engineering-computation-"https:" "https:" "https:" positions at University of Bristol
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research addressing real-world challenges in quantum information science and technologies. The School is part of the Faculty of Science and Engineering, which fosters cross-disciplinary collaboration and is
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research addressing real-world challenges in quantum information science and technologies. The School is part of the Faculty of Science and Engineering, which fosters cross-disciplinary collaboration and is
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for its industry-focused research addressing real-world challenges in quantum information science and technologies. The School is part of the Faculty of Science and Engineering, which fosters cross
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Prosperity Partnership with Vestas, two EPSRC Programme Grants as well as the CDT in Innovation for Sustainable Composites Engineering. The main purpose of this position is to: Design and deliver high quality
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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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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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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 31/07/2029
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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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blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended with fixed funding until 30/09/2028 Work pattern: Full time Grade: I / J / K Salary: Grade I
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Project description Electromagnetic (EM) sensing is emerging as a powerful enabling technology for modern high-value manufacturing. Advances in computing power and machine learning now allow us to