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fully funded PhD research studentship in Physics-Informed Machine Learning for Cardiovascular Medicine. This opportunity is open to UK (Home) candidates only. Project Overview Arrhythmias are disorders
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, such as through an undergraduate placement or employment, would be advantageous. This is a 4-year Graduate Teaching Assistant (GTA) studentship, with a slightly higher teaching requirement alongside the PhD
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Open to UK students This 3.5-year PhD project is fully funded for home students or EU students with settled status. Tuition fees will be paid and the successful candidate will receive an annual tax
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Project details: Iron is crucial for athlete health and performance, yet iron deficiency is a common diagnosis in active populations. Iron deficiency can hinder haematological adaptations and reduce
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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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to rare disease trials. This PhD studentship is part of LifeArc ARDT, a UK-wide £12m partnership between Newcastle, Birmingham, and Belfast to accelerate rare disease trials. Students will receive training
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Annual tax-free stipend of £22,780/year for 4 years, full coverage of tuition fees for UK/Home Students, plus training/travel funds Placed On: We invite applications for a fully funded PhD research
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progresses, the student will contribute to the definition of system specifications, regulatory and safety considerations, and the development of viable business and deployment models. Public acceptance
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- HydroGraph ) Start date: 6th October 2025 Project Description – The aim is to develop a fundamental understanding of the reinforcement mechanisms enabled by FGA-1, including its impact on application
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, and effective communication skills. Previous programming or experimental experience is advantageous but not mandatory. Funding Self-funded. The student needs to support the PhD tuition fees (£5,006/year