49 development-"https:"-"https:"-"https:"-"https:"-"OSU" PhD positions at Monash University
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Primary supervisor Zhaolin Chen Research area Data Science and Artificial Intelligence Portable point of care medical devices have revolutionised the way in which people receive medical treatment. It can bring timely and adequate care to people in need but also opens up the opportunity to...
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publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
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scholarships funded by a national elite HDR training program: Data61 Next Generation Graduate (https://www.csiro.au/en/work-with-us/funding-programs/programs/next-generation-graduates-programs), and
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from an unbiased strategy space.” Journal of the Royal Society Interface 16 (2019): 20190127. https://doi.org/10.1098/rsif.2019.0127 Perera, I., de Nijs, F. and García, J. “Learning to cooperate against
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Primary supervisor Raphaël C.-W. Phan Co-supervisors Arghya Pal Sailaja Rajanala Prof Lin Chen [https://scholar.google.com/citations?user=pqe3-BMAAAAJ] Research area Cybersecurity AI is now trending
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and understanding protein structures, but expert supervision is required in the development, training and deployment of these models into automation scenarios. We seek to develop a human-centred AI
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pursue a deeper understanding of humans and machines and the meaning this has for our future and the development of safe AI. To do this project you would need to apply for a Monash Scholarship. Required
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pursue a deeper understanding of humans and machines and the meaning this has for our future and the development of safe AI. To do this project you would need to apply for a Monash Scholarship. Required
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm
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] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference on Electronic Commerce.” Accessed September 10, 2021. https://dl-acm