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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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looming threat quantum computers pose to current cryptographic infrastructure, and the growing need for AI systems whose outputs can be verified, audited, and trusted without exposing sensitive data or
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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muon tomography techniques for application to fusion reactors, considering factors such as muon flux, detector sensitivity, and data analysis algorithms. PhD candidates will be tasked with developing
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intelligent/adaptive algorithms, offline and online data analysis, conducting experimental research, and online evaluation of the developed adaptive strategies with a robotic application. The prospective
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prescriptive maintenance system for Genie’s lifting equipment. The project focuses on connected, partially connected, and non-connected machines, transforming telematics, onboard sensor data, and historical
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with the ARIA Safeguarded AI programme project “Data-Parallel Proof Checking for Monoidal Theories”, led by Professor Fabio Zanasi within the Programming Principles, Logic and Verification (PPLV
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internal data but often disrupt the process, alter the thermal fields, and risk damaging the part during fabrication. Finite element analysis (FEA) models, while capable of delivering detailed
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accepted by the Home Office. Applications and closing date: 15 th of September, 2026 Applicants should submit through the Abertay University jobs page https://www.abertay.ac.uk/about/working-at-abertay
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Non-tenure-track/postdoctoral Oxford, United Kingdom Apply University of Oxford Maths Institute Andrew Wiles Building OX2 6GG Oxford United Kingdom Keyboard shortcuts Map data ©2026 Map data ©2026