46 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Multiple" positions at University of Surrey in United Kingdom
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impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World
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impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World
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impactful research with excellent teaching and the strengths of a technology-led university. We are ranked in the top 10 for business and economics in the United Kingdom by the Times Higher Education World
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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promising imaging technology is proton-acoustics, relying on detecting acoustic waves generated by proton-tissue interaction for real-time in-vivo 3D proton beam imaging and dosimetry. However, proton
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stakeholders Confidence supporting multiple events simultaneously and managing changing priorities Experience maintaining technical equipment and contributing to safe working practices A proactive, solution
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technology with CoSTAR. It is initially fixed-term upto May 2028 (extensible subject to funding). The role is based at the Centre for Vision, Speech and Signal Processing (CVSSP, University of Surrey), which
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multiple demands. Strong analytical and problem-solving skills, a commitment to continuous improvement, excellent communication, and the ability to work effectively with diverse stakeholders across and
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strategy for IT, digital, and technology-enabled services. The roles will focus on securing value for money, managing commercial and delivery risk, and building effective supplier partnerships that support
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. Bayesian networks and related machine-learning methods will be used to calculate cross-section probability density functions in a much faster way, enabling the combination of multiple probability