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Field
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bottleneck in the screening process. This PhD project will address this through deep integration of scanning probe electrochemistry, optical microscopy and machine vision, to develop a system that can
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Do you want to work with healthcare data and develop your data science skills? Do you want to make a difference in healthcare by understanding the reasons why an implant fails or succeeds? Around 1
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learning, this research contributes to the growing field of digital healthcare, which aims to enhance clinical decision-making and improve patient outcomes. The primary focus of the project is to develop and
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with Dr Sophie Nightingale (Psychology), Dr George Brown (Linguistics), and Professor Claire Hardaker (Linguistics) to add to the evidence base needed to design and develop approaches to mitigate
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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. Although the development of thermodynamically stable inhibitors is possible, this typically comes at a price of increased toxicity and reduced bio-degradability. Due to the ever-tightening legislation
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This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium
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computational and experimental fluid dynamics in addition to product development. This project falls within the field of fluid dynamics, a discipline central to improving the efficiency of systems that involve
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for industrial secondments to gain an insight into industrial challenges in this area and develop industry related skills Opportunities for secondments with overseas research laboratories. For example, you may