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Field
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MRI, echocardiography, and CT. Another promising approach is the use of cardiac digital twins—mathematical models that simulate a patient’s heart to allow the design and in silico testing of novel
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establishing an understanding of "what normal looks like", these models will detect deviations from the norm and effectively identify potential anomalies during testing. You will explore both self-supervised
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for PFAS removal using rapid small-scale column testing (RSSCT). Evaluate the influence of contact time, media type, and multi-stage configurations on treatment efficacy. Characterise the scientific
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standard for testing the radiant efficiency of low temperature radiant heaters (BSEN 60675-3 (2021)) does not consider human thermal comfort. Humans are radiant objects. More than 60% of the sense of comfort
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early ‘prodromal’ stages) is yet to be established in large community settings. This PhD project will examine the effectiveness of AI-based analysis of eye images in predicting cognitive/neurodegenerative
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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supplements combinations on relevant markers. Our project aims to examine effects of dietary supplements with anti-inflammatory and other bioactive effects on muscle and joint pain, alongside other aspects
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portfolio of work related to prioritisation in cancer care using decision analytic modelling that incorporates constraints such as diagnostic testing capacity and staff availability. Responsibilities will
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, NFMs have been tested in lowland catchments where interventions such as floodplain reconnection or wetland restoration helps store water and attenuate peak flows. Interventions in headwater and upland
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transfer and laser-matter interactions. The “design-manufacture-inspect-model-test” approach of this project will equip the successful PhD candidate with a wide range of valuable and transferable skills