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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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Deadline: 24.08.2025 Number of positions: 1 For UK students only This 3.5 year PhD project is fully funded for home students only. The successful candidate will receive a tax-free stipend set at
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Science, Soil Science or related disciplines who have/expect to graduate with a first/upper-second UK honours degree, or equivalent qualifications gained outside the UK. Funding details Funding is available
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Continuation of the award is subject to satisfactory progress. Number available To be confirmed by RADMA. Funding provider Research and Development Management Association (RADMA) Level(s) of study This funding
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used in wind turbine blades, structural engineering exposed to offshore environments. However, the rapid growth of the wind turbine industry is expected to generate million tons of blade waste globally
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Reference no.: 4340 Among the many reasons to research and teach at the University of Vienna there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves as
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board development to support local AI in ATMs for enhanced security. PhD Studentship: cyberquarter. The Studentship is available for February 2026 start A PhD studentship that comprises a tax-free stipend
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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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testing) to understand and tailor the physical and chemical interactions within these complex structures. Cranfield University is internationally renowned for its research into materials for extreme
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effects on cell migration, invasion and angiogenesis. Interestingly, there are synergistic interactions between ITCs and anticancer drugs such as sorafenib and dasatinib (1,2). Breast cancer is one