Sort by
Refine Your Search
-
[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
modelling from Project 1, we will conduct focus groups and interviews with communities in high- and low-risk zones to capture local knowledge, behaviours, and risk perceptions related to AMR. In parallel
-
programming Funding reference https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/monash-graduate-scholarship-mgs Learn more about minimum entry requirements .
-
programming Funding reference https://www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/monash-graduate-scholarship-mgs Learn more about minimum entry requirements .
-
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
-
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
-
] “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
-
] “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
-
. Nowak. “Evolution of Cooperation in Stochastic Games.” Nature 559, no. 7713 (July 2018): 246–49. https://doi.org/10.1038/s41586-018-0277-x. [3] McNamara, John M. “Towards a Richer Evolutionary Game
-
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
-
Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering , with demonstrated knowledge in machine learning, algorithms, and programming. Prior exposure to reinforcement learning