Closing date: 1 December 2019
Student type: Domestic students and International students are eligible for this scholarship program.
Level of study: Higher Degree by Research
Study area: Engineering and Computing, Health and Behavioural Sciences
Scholarship value: $5817 per annum
The ability to extract information from images using machine learning has increased tremendously with the development of deep Convolutional Neural Networks, which consistently outperform classical machine learning techniques. In this project, deep Convolutional Neural Networks will be used to derive new magnetic resonance imaging (MRI) -based biomarkers of seizure recurrence and medication unresponsiveness following a first unprovoked seizure. Multi-contrast MRI and EEG datasets and clinical information on seizure recurrence and treatment responsiveness accumulated in over 2000 First Seizure patients seen at Royal Brisbane and Women’s Hospital over the last 10 years will be used to develop and test the predictive biomarkers.
Eligibility: To be eligible, you must meet the entry requirements for a higher degree by research.
How to apply:
- Cover letter
- Academic transcript/s
- Proof of meeting English Language requirements
More info: https://scholarships.uq.edu.au/cibit-topup