129 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions at University of Bristol
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at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling of financial systems, blockchain
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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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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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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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by the Head of School. • A PhD in Human Computer Interaction, Computer Science, Engineering, Design, or a closely related field. • A strong track record of research in HCI, tangible computing, physical
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to high-performance computing. hardware cryptography, trustworthy systems, cybersecurity, and physical computing systems design. Our infrastructure supports disciplines ranging from engineering and physics
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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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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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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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learning. You’ll have creative freedom to suggest changes and develop the project plan. First degree in Electrical and Electronic Engineering, Computer Science, Physics or Mathematics (PhD desirable) Strong