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Award summary 100% of home tuition fees paid and an annual stipend (living expenses) of £20,780 Overview Interested in developing new experimental systems for previously unknown disease mechanisms
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Full time research associate with the opportunity to work fully funded for 18 months on ultrasound data transmission across a metal barrier. The research is based on finite element and analytical
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A funded 4-year UK EngD / PhD studentship is available in the group of Prof Sandy Knowles within the School of Metallurgy and Materials at the University of Birmingham, with a tax-free stipend of
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a vital role in regulating neural excitability, cognition, mood, and social behaviour. Alcohol is well known for its ability to enhance GABAergic function—contributing to its relaxing, anxiolytic and
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HIV remains one of the most persistent and challenging infections to cure due to its ability to lie dormant in reservoirs within the body: T-cells that are infected but no actively replicating virus
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related methodologies, as well as the ability to collaborate with others (internally and externally), is essential for the role. We encourage applicants with a range of skill sets to apply. This role could
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still hampered by: Ability to detect areas along the intertidal for optimal restoration3. Knowledge on how positive species interactions can be harnessed for rapid restoration4. Availability of devices
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
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conclusions. Ability to work independently. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience). Those who have submitted but not yet received their PhD will be
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine