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with inflation). Research training and support grant (RTSG) of £3,000 per year. Funding is available for 4 years. Closes: Open until position filled The overarching aim of this project is to find
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, enabling early detection of damage. Renewable Energy: Rapid, optimized design of wind turbine blades and structures for greener energy. Microstructures: Accurate, efficient analysis of devices like MEMS
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engineering, clinical research, and AI-driven health monitoring. This project will explore large-scale maternal datasets—combining clinical cardiovascular assessments with wearable sensor data—to detect early
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, offering a consistent, objective, and transparent framework for evaluating circularity performance. Most crucially, it facilitates the identification and evaluation of resource recovery opportunities
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of work throughout the PhD. Project aims and objectives The primary aims of this PhD project are as follows: To investigate how dietary supplementation modulates the gut microbiota and gut permeability
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Project details Early detection of cognitive decline allows identification of those at high risk of developing dementia when medical treatments may be effective in preventing disease onset. Our
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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, and coordination of aerial missions within regulated airspace. These models will support multi-objective optimisation across key dimensions such as time, safety, cost, and coverage. As the research
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required in order to better understand the mechanism of the action of plant active compounds such as essential oils on the rumen microbiome, especially under different dietary regimes. Objectives and
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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