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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis
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new x-ray imaging techniques from the synchrotron to the laboratory Transforming breast cancer imaging with x-ray phase contrast Webpage: https://xrayimagingmonash.wordpress.com/ For further details
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information on our practice-based PhD program, please see: https://sensilab.monash.edu/work-with-us/practice-based-phd/
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This scholarship opportunity is open to domestic applicants who identify as Aboriginal or Torres Strait Islander. More information about the opportunity can be found here: https
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To apply, you must submit an expression of interest (including CV and degree documents) at: https://forms.gle/RxQTAZzd57gLZ19A7 For general instructions on how to apply for roles at Monash, please refer to
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programming skills and a good background in maths. This project would set you up for a follow-up honours project in this area. https://github.com/cormackikkert/CEGARBox https://github.com/cormackikkert
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, Farshid, Global Temperatures and Greenhouse Gases: A Common Features Approach (September 30, 2019). Available at SSRN: https://ssrn.com/abstract=3461418 or http://dx.doi.org/10.2139/ssrn.3461418 Fitzgibbon
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are being set up, those from the Monash Energy Institute will give you a first idea of the breadth of our activities: https://www.monash.edu/energy-institute Note: while only "Optimisation" is selected as the
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find some of our publications here: https://i.giwebb.com/research/computational-biology/ Required knowledge A solid grounding in artificial intelligence and machine learning. Learn more about minimum
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analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., EEG, eye-tracking, pupillometry, fNIRS) Interest or training in technology law, digital regulation