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Machine Learning in Neuroscience

Description 
AI is taking over the world. Do you want a job in 10 years time? Gotta learn AI. 1) Predict which patients with epilepsy will become seizure free after surgery, potentially helping with the decision making process to select patients for surgery, and guiding the surgical procedure. 2) Disentangle the brains waste clearance system, needed to get rid of the nasties that cause Alzheimer's and parkinson's disease.Perivascular spaces play a key role in removal of waste products and toxic proteins such as amyloid beta, alpha synuclein, which are involved on the pathological processes of Alzheimer's disease and Parkinson's disease. This project will use convolutional neural networks to find the perivascular spaces. 3) Predicting onset of dementia. 4) Predicting progression of cancer/tumour growth The student will assist with the development and validation of the algorithms, and with curating training data.
Essential criteria: 
Minimum entry requirements can be found here: https://www.monash.edu/admissions/entry-requirements/minimum
Keywords 
Machine Learning; Artificial Intelligence; Parkinson's Disease; Epilepsy
School 
School of Translational Medicine » Neuroscience
Available options 
PhD/Doctorate
Masters by research
Masters by coursework
Honours
BMedSc(Hons)
Short projects
Time commitment 
Full-time
Physical location 
Alfred Centre
Co-supervisors 
Prof 
Meng Law

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