135 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions at University of Bristol
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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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. Secure research funding, supervise doctoral and postgraduate students, and mentor early-career faculty to support their professional development. You hold a PhD in Engineering, Physics, Computer
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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
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. You hold a PhD in Engineering, Physics, Computer Science, Mathematics or a closely related discipline. You have proven ability to teach at a high standard and an emerging track record of scholarly
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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
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should have expertise in two or more of the following areas: computational mechanics, composite manufacturing, stochastic design, aeroelasticity, wind turbine engineering, or multi-scale modelling
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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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: Thomas.rendall@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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blog: https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended with fixed funding for 3 years Work pattern: Full time/35 hours per week Grade: I/Pathway 2