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PhD Studentship: Development of a novel analytical platform combining laser-based techniques and multivariate data analysis for the characterisation of radioactive waste disposal materials The aim
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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to use complex computer code e.g., TRACK algorithm · Difficulty to grasp analytic techniques used outside of academia and used within the insurance industry · Difficulty in complex
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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theory, Bayesian inference, Monte Carlo simulation, and statistical analysis of subjective data. Data science and machine learning - big data analytics, surrogate modelling, digital twin development, and
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/AI: Apply data-driven methods to construct reduced-order models that bridge analytical theory & high-fidelity simulation data, enabling rapid drag prediction across surface parameter spaces
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PhD offers an exciting opportunity to explore reservoir computing, a new approach towards artificial intelligence that uses the natural dynamic behaviour of physical systems (such as light and
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PhD Studentship - Process Industries: Net Zero CDT: Lifecycle & Systems Modelling of Future Marine Fuels and Engine Systems Award Summary 100% fees (UK home only), a minimum tax-free annual living
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reliability. This PhD project will develop lifecycle and systems‑level models that track these fuels from production through storage, onboard use and energy conversion. Using advanced simulation and analysis
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on Tuesday 12 May 2026 Reference: PHD-DVC26-04 Project Title: Aerial Very- and Ultra-Low Volume Variable Rate Spraying for Autonomous Arable Systems Primary supervisor: Dr Nwabueze Emekwuru Co supervisors