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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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Baccalaureate student. Commencing one of the following scholars programs at a Monash campus in Australia: Bachelor of Pharmaceutical Science (Advanced) Honours Scholars Program Bachelor of Pharmacy (Honours
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
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Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Computational drug discovery Primary supervisor Geoff Webb Research area Data Science and Artificial
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should have strong knowledge in a discipline or background that supports them to undertake the proposed project (e.g. human-centred computing/ computer science, engineering, social science, science
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of Materials Science and Engineering (MSE), Faculty of Engineering, Monash University. This PhD project will contribute to MSE’s strategic research initiative on accelerating Australian green ironmaking
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#1 Chemical Engineering Department at Monash University and be part of a pioneering research initiative at the intersection of materials science, automation, and artificial intelligence. As a
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and Boulton, 1968; Wallace and Dowe, 1999a; Wallace, 2005) is a Bayesian information-theoretic principle in machine learning, statistics and data science. MML can be thought of in different ways - it
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; Software Systems & Cybersecurity; and Human-Centred Computing - with cross-cutting research themes covering work from core computing science through software engineering to social and organisational