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Field
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time periods. Coupled with other remote sensing variables (e.g. NDVI, canopy height), these datasets offer a foundation for in-depth analysis of forest dynamics. The primary challenge for this PhD
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Candidates should normally have or be about to obtain (usually within three months) a relevant PhD in Geography, Palaeoecology, Ecology, Environmental Sciences, Environmental Engineering, Remote Sensing
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signals is one of the most effective short-term strategies to improving our understanding of landslide hazard and mitigating the associated risk. Recent advances in remote sensing, both from greater data
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land maps and their interpretations into contemporary remote sensing databases for agricultural development using Geographic Information System software e.g. ArcGIS. You will consolidate historical
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The Opportunity: We seek a post-doctoral research associate (PDRA) with expertise in radar remote sensing of vegetation. The post holder will develop new methods to retrieve information about woody
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About the Project Remote patient monitoring facilitated by mobile sensing technology is on the way to changing how patients are monitored and treated. By analysing extensive data from wearable
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), you'll be working on rapid information extraction for environmental remote sensing on board spacecraft. Your work will involve applying lightweight Convolutional Neural Network (CNN) models to multi
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Remote patient monitoring using wearable devices and AI Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Shaoxiong Sun Application Deadline: 19 May 2024
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experienced applicants may be appointed to a Readership (equivalent to Associate Professor). The field of Probability and Stochastic Analysis is understood in a broad sense. Those pursuing interdisciplinary
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The exciting progress of quantum sensing in laboratory experiments have prompted a worldwide effort to develop robust portable systems that can be used in real-life applications. An example is atom