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Field
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isolation, leading to suboptimal network performance. This project seeks to address this gap by developing a holistic, system-level approach that optimises PST deployment strategies to enhance grid
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of measles evolution and naming systems (nomenclature) to support public health identification of measles outbreaks/importation and ultimately, elimination. In this project you will learn to perform genomic
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significantly reduce carbon emissions and bolster global efforts to achieve net-zero targets. Despite considerable advancement in their operational performance, their life cycle impacts, including raw material
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their numerical implementations will be supported through high quality experimental data obtained at Manchester. Applicants should have, or expect to achieve 1st class honours degree or a master’s in
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. The rapidly growing space satellite industry will need novel high-performance materials for superior space debris impact resistance. Our novel composites materials developed in this project will
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in a more accurate analysis of optimizing the service performance. Computer vision approaches such as ones for object identification and action recognition can help to automatically identify deviations
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and brain tissue mechanics to improve stroke treatment. Stroke is a leading cause of death and disability worldwide, making advancements in its diagnosis and treatment highly relevant. Computational
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, please contact Dr Isabella Guido once deadline passes. You will need to meet the minimum entry requirements for our PhD programme . We are seeking a highly motivated and skilled candidate with a
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January 2026. Later dates are possible, please contact Dr Andrew Viquerat once the deadline passes. You will need to meet the minimum entry requirements for our PhD programme . How to apply Applications
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consumption by 2030 and carbon-zero emissions by 2050. Ensuring the safe, sustainable operation of hydrogen storage and delivery systems, including the integrity of storage containers and pipelines, is