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Field
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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throughout the duration of their PhD, plus periodical monitoring and evaluation activities. The objective is to provide students with all the support they need for the proper development of their research
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Future Fellowship project “Innovative Data Driven Techniques for Structural Condition Monitoring
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Visiting Research Assistant Professor Bioengineering - Pennsylvania-Pittsburgh - (25002292) The Cardiovascular Health Tech Laboratory (https://www.engineering.pitt.edu/subsites/Labs/chtl/ ) within
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PhD Studentship in Applied Health Research Project: Kidney disease and haemodialysis: Understanding the patient experience to improve treatment. Supervisors: Dr Amelia Hollywood and Dr Sam Bizley
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on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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supervision of Principal Investigators Heather Greenlee, ND, PhD (Fred Hutchinson Cancer Center) and Amanda Fretts, PhD (University of Washington School of Public Health) to assist in the coordination
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the duration of their PhD, plus periodical monitoring and evaluation activities. The objective is to provide students with all the support they need for the proper development of their research career. The ICN2
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problem that affects consumer trust, regulatory compliance, and public health. Often targeting high-value commodities, advanced analytical methods are needed to monitor the integrity of the supply chain and