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in Computer Science, Engineering, Physics or Mathematics. They should demonstrate aptitude for original research. Scholarship Funding is for 3 years and will provide an annual tax-free stipend
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approach is the use of digital twins—virtual models that replicate a patient’s heart using mathematical equations describing cardiac physiology and clinical data (e.g., ECGs, MRI scans). However, creating
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(or equivalent) in a numerate discipline, preferably in mathematical, computational, biological, engineering or physical sciences subjects or a related discipline, with an interest in using technology to solve
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Python. The ability to write technical and mathematical documentation. The ability to work as part of a team. A Master's (MSc/MEng) in Astrodynamics, Aeronautical Engineering, or a related discipline
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challenges. Possible research focus includes development of mathematical and physical models for image reconstruction and novel image analytics based on AI-driven enhancements. Ideal candidates should have
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, Mathematics, or Physics. Ability to develop and apply new concepts while prioritising work in response to deadlines. Creative approach to problem-solving. Ability to organise own work with minimal supervision
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frameworks. • Solid mathematical background. • Excellent spoken and written English skills. • High motivation for translational research in a clinical environment. • Willingness to write and publish research