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The scholarship provides a minimum stipend of $34,481 each year for three years to perform experimental investigations and developing mathematical models to valorize waste and produce carbon nano
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machine learning, engineering, data sciences, applied mathematics, or another related field; or Have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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Supervisors: Prof. Reinhard Maurer, Prof. Scott Habershon In drug discovery, millions of molecules need to be screened for their viability as drug candidate, including their synthetic viability
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Supervisors: Dr Raj Pandya, Prof. Nicholas Hine, Prof. Reinhard Maurer While we as humans are used to seconds and hours, electrons and atoms in materials move a whole lot faster around a million
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Supervisors: Prof. Julie Staunton, Dr Albert Bartok-Partay Rare earth materials are in increasing demand making good modelling of their electrons important for further development. The elements have
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Supervisors: Dr Emmanouil Kakouris, Prof. James Kermode, Project Partner AWE-NST Find out more: https://warwick.ac.uk/fac/sci/hetsys/themes/projects2025 High-rate ductile fracture, particularly in
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Supervisors: Prof. Reinhard Maurer (Chemistry), Prof. Richard Beanland (Physics) Understanding how local atomic structure and long-range emergent magnetic and electronic properties in defective 2D
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. To meet the general entry requirements for doctoral studies, you must: Hold a Master’s degree in computer science, image analysis and machine learning, engineering, data sciences, applied mathematics
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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of Australia. This scholarship is open to all local candidates, Australian and New Zealand citizens or permanent residents of Australia. To discuss this project further, please contact: Prof Brant Gibson