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Field
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for Pollinator Monitoring: Train and optimise deep learning models for pollinator detection and classification using annotated image datasets. Post-processing object tracking algorithms will be incorporated
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frameworks that can maximise the performance, efficiency, and emissions reduction potential of such new fuels through intelligent design, modelling, and experimental validation. Research Objectives Investigate
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its removal. This will involve the use an array of sensors to detect and locate the magnet material and then use AI to plan and instruct a robot or automated system to autonomously cut the motor open
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studentship for the project “High-Fidelity Simulation of Noise Generation by Turbulent Flows Passing over Flexible Aerofoil Trailing Edge” to discover the secret of silent flight of owls in the research group
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well as emerging wireless technologies, such as reconfigurable intelligent surfaces and metasurfaces, holographic MIMO, or near-field communication, will find this project particularly well-aligned. Strong
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has different subclades. Recently, virulent Lm races overcoming the commonly used resistant genes (e.g. Rlm7) have been detected. Previously, only the Lb ‘brassicae’ (Lbb) subclade was identified in
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promise for real-time and non-invasive monitoring of diverse biomarkers, there is currently no biosensor that can reliably detect key TLS biomarkers. This PhD project will focus on developing novel
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been co-designed with the BBC and invites a sustained period of research on the growth, development, and sustainability of the screen industry in the UK. Find out more on the Creative Bridges website
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students are also eligible to apply, but they will need to find other funding sources to cover the difference between the home and international tuition fees. Exceptional international candidates may be
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above and our ‘Find a Supervisor’ page for information on our academic staff and their research interests. For guidance on writing a research proposal, please see: https://www.westminster.ac.uk/study