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Field
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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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marine biodiversity, with an overall aim of decreasing the time between surveying and meaningful analytical outputs for subsequent management action. The PhD student will possess excellent programming
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, and explainable machine learning to analyse campaign text, imagery, and investment outcomes. While experience in analytics or programming is desirable, training and supervision will be provided
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to develop a high-performance disposable analytical tool for the on-site detection of folic acid in several food matrices. This technology is based on our recently developed wireless and batteryless, near
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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and undertake sensitivity analyses. The integrated framework will be validated using analytical test cases, laboratory experiments, and field measurements. It will then be applied to a real-world case
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reliable decision-making. Evolutionary algorithms will be employed to efficiently explore the parameter space and undertake sensitivity analyses. The integrated framework will be validated using analytical
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strong numerical, analytical and coding skills with undergraduate and masters degree in Mathematics, Earth System Sciences, Natural Sciences and related subject areas.
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candidate will drive the development and application of advanced diagnostic and analytical tools, set new standards in immunological and genomic epidemiology, and contribute to global arbovirus response. PhD
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Skills Background in biochemical or chemical engineering, biotechnology, or microbial processes. Hands-on experience in fermentation, microbial cultivation, and analytical techniques (HPLC/GC). Familiarity