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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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sensors and monitoring technologies with data fusion and AI analytics, this research will enable timely identification of deterioration processes and assessment of their evolution/extent.Position 3
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application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project: This project aims to explore
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businesses and their operations. There is therefore a growing need for rapid analytical methods for the determination of PFAS, not least because UK testing capacity is limited, slow and expensive. Fundamental
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a PhD student to work on a new project to examine the fundamentals of supercapacitor materials and how they might be used in new devices for novel energy storage applications. The project will be co
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but also provides a comprehensive training experience for the PhD student, preparing them for a successful career in academia, industry, or entrepreneurship in analytical chemistry and mass spectrometry.
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, explores opportunities to design a high-performance RISC-V-based platform to support analytics and AI applications. Part of this research, aspects of cybersecurity for data collection and processing would
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Sciences which currently includes 7 members of academic staff and more than 6 PhD students. See https://www.nottingham.ac.uk/mathematics/research/mathematical-neuroscience.aspx for further information
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. Familiarity with analytical techniques such as NMR or electrochemical methods. Research experience (e.g., undergraduate project, summer internship, or industrial placement). Additional information: Applicants
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This project aims to advance chemometrics, artificial intelligence (AI), and data analytics techniques for characterisation of materials in decommissioning nuclear sites to enhance detection