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skills, which will be required to lead the development of automated data analysis and modelling. The student will also undertake a research secondment to coral reef monitoring sites at NEOM for three
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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experimental and computational, to understand and predict microtexture evolution during processing. The balance between experimental and computational research will depend on the profile of the successful
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wider ecosystem structures. The findings will generate actionable insights for policymakers, incubators, development organisations, and SMEs by identifying the ecosystem features that most effectively
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position that will give promising researchers an opportunity for academic development through a PhD education leading to a doctoral degree. The hired candidate will be admitted to the PhD program in Social
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process development, optimization, maintenance, and communication. As a member of the leadership team, responsible for conducting the following activities on behalf of the Financial Aid function: Planning
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assess ecological status Measurement of foam properties in the presence of surface-active microorganisms Development of a transportable foam field-testing devices Publication of the results in scientific
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the School of Human Movement, Sport and Leisure Studies in the College of Education and Human Development. Eligibility: Must a full-time, undergraduate student; Must be majoring in Recreation or Tourism
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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they lead to electrochemical failures under low and high voltage bias. The project will also include the development of secondary electrochemical models as digital twins. This PhD project is part of CreCon