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activities and weather conditions on PM2.5 distribution. 4. To propose effective dust control measures based on the analysis of PM2.5 data and contributing factors. Objectives 1. Source Identification and
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research and commercial organisations, focused on developing innovative image analysis techniques to improve clinical care. Matched chest CT and MRI scans (along with functional data) have already been
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emerging technologies such as personal AEDs. These comparisons are expected to require a combination of biostatistical analysis, spatial analysis (e.g. using Geographic Information Systems, GIS), and
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Status: Open Applications open: 1/07/2024 Applications close: 20/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview Proton-conducting
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Bridge Monitoring by Computer Vision and Edge Computing.” PhD candidates involved in this project will be trained under the supervision of Prof. Jun Li and Dr. Zhen Peng in the emerging field of smart
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be familiar with quantitative research methods, data collection, and statistical analysis. Good scientific writing skills in English together with the ability to work collaboratively and independently
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PhD, involving consultation and engagement with project stakeholders including service providers and young people. Objectives Using globally unique, nationally linked health and justice data
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Status: Opening Applications open: 1/07/2024 Applications close: 20/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview There is an urgent
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towards sustainable consumption, and buying intentions. Statistical analysis will then correlate these data points to identify significant factors influencing consumer behavior, providing a quantitative
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reduction campaigns. Quantitative Analysis Phase: • Surveying consumers to gauge their perceptions and responses to anti-consumption campaigns. • Analyzing production and sales data pre- and post