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Field
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indicators to develop a methodological framework for the detection of creek networks present before the site was reclaimed. This will lead to the construction of a more natural creek system in new managed
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addressing specific case studies or specific targeted techniques. The main tools to be used will come from the discipline of Machine Learning, particularly those based on Bayesian methods. The student will be
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant problem that affects consumer trust, regulatory compliance, and public health. Often targeting...
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, this interdisciplinary project will couple mathematical models of earthworm movement, stochastic models of the measurement process and designed experiments to improve earthworm detection. Project This project will work
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on the broad topic of Machine Learning and Psychophysiological Deception Detection. The studentship is part sponsored by GCHQ and funded for up to 3.5 years with fees and a stipend at the standard UKRI rate
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environmental degradation and economic strain. Existing detection methods fail to address the issue effectively, being both costly and unreliable. This project proposes an innovative solution by integrating drone
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deterioration is often missed, and failures occur without warning. This PhD project aims to develop novel diagnostic techniques for earthwork asset condition appraisal and deterioration detection, helping
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detection of visual-led dementia Objective: Develop a test to detect dementia-related visual impairment in eye and dementia clinics Aim 2: Evaluate factors associated with cortical visual function in UK
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& Statistics Project description Unmanned Aerial Vehicle (UAV) e.g., drones are increasingly used for equipment anomaly and fault detection. When the drones are employed to take images, the quality of the images
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generative modelling, and graph neural networks. Additional responsibilities include developing research objectives and proposals; presentations and publications; assisting with teaching; liaising and