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to the increasingly difficult conditions. Drawing on expertise from the Environmental Ergonomics Research Centre and members from the Peter Harrison Laboratory, this PhD project will investigate thermal responses in
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literature relating to injury risk mitigation in relation to full-time women’s football. The candidate will also develop a multifactorial approach to monitoring responses to training and match-demands of full
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the treatment and outcomes of people living with kidney disease. The PhD candidate will speak to patients about their experiences of the condition and treatment they receive. Clinical outcomes will be monitored
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. Low-power AI is crucial in this context, enabling continuous link monitoring and decision-making without exhausting limited satellite energy resources. The AI models will predict potential failures and
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, with applications in search-and-rescue, environmental monitoring, and planetary exploration. Applicants should have a First or strong Upper Second-class honours degree (2:1 with 65% average
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the integrity of infrastructure such as pipelines and process plants. Traditional inspection and monitoring methods often face limitations when dealing with complex pipework and constrained geometries
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following criteria: Be a UK National (meeting residency requirements), or Have settled status, or Have pre-settled status (meeting residency requirements), or Have indefinite leave to remain or enter HOW
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the foundation of computer vision, monitoring, and control solutions. However, real applications of AI have typically been demonstrated under highly controlled conditions. Battery assembly processes can be
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of artificial intelligence (AI) nowadays, it has become possible to develop a fast-response AI-based condition monitoring system for gas turbine engines. The objective of the project is to develop novel AI-based
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Type of award Studentship Managing department Faculty of Humanities Value Subject to residential eligibility status, the award covers: Tuition fees Maintenance stipend (the annual maintenance