624 software-verification-computer-science-"TCAT-Jacksboro" positions at Monash University in Australia
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cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
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computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements
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Monash PSA Insurance Medical Science Honours Scholarship The Monash PSA Insurance Bachelor of Medical Science (Honours) Scholarship as funded by the Victorian Medical Insurance Agency Limited is set
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Global Scholars Program Grant The Global Scholars Program Grant is available to students enrolled in the Bachelor of Global Studies to help support the overseas study requirement of the course
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advancing the Biomedical Engineering program outcomes through complex research activities, including providing training in mammalian cell culture, bacteria culture, flow cytometry and microscopy, as
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Computational simulations are now widely employed to study the behaviour of social systems, examples being market behaviours, and social media population behaviours. These methods rely heavily
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100 per year See details Bachelor of Computer Science Moksh Receiving a scholarship has been my motivation to study harder. It has also given me more confidence in my studies, and pushed me to achieve
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Relevant bibliography: - Chades, I., Carwardine, J., Martin, T., Nicol, S., Sabbadin, R., & Buffet, O. (2012). MOMDPs: a solution for modelling adaptive management problems. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E....
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Engineering International High Achievers Scholarship Sir John Monash Fee Scholarship The Engineering International High Achievers Scholarship is introduced to recognise high achieving international
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computational methods for modelling social dilemmas that can account for real-world complexity in agents’ behaviour. We will build on novel computational techniques to produce realistic enough models that can be