124 computational-physics "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Bristol
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of wind turbine blades and wind turbines, and LMAT, a specialist SME in composites process modelling. The project focuses on the design, manufacture and performance of next-generation wind turbine blades
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: For the full advertisement, including details on the project, eligibility and how to apply, please visit: https://www.iwm.org.uk/research/doctoral-awards Candidate requirements: Applicants should ideally have
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team comprising computer engineers, architects, designers, urban planners, and local administration professionals. In collaboration with project partners, you will: Apply machine learning techniques
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5pm GMT on 10-04-26. To make an online application go to http://www.bris.ac.uk/pg-howtoapply . Please select ‘Philosophy PhD’ on the programme choice page and ‘September 2026’ as your start date. Enter
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As part of the expansion of Bristol Cyber Security Group the School of Computer Science is seeking to make an appointment of a Professor of Cyber Security, as an open-ended position. We wish
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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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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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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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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