312 linked-data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "U" positions at Monash University
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Primary supervisor Mor Vered Co-supervisors Alexey Ignatiev Sarath Sreedharan Research area Data Science and Artificial Intelligence Creating efficient and beneficial user agent interaction is a
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programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
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Primary supervisor Mor Vered Co-supervisors Alexey Ignatiev Sarath Sreedharan Research area Data Science and Artificial Intelligence Creating efficient and beneficial user agent interaction is a
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during live engagements, to facilitate more specific and timely content recommendations by service providers to enhance user engagement. Analysing website activity data to identify potential crisis points
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during live engagements, to facilitate more specific and timely content recommendations by service providers to enhance user engagement. Analysing website activity data to identify potential crisis points
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) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and
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) and data engineering for reproducible research. Familiarity with cloud/HPC workflows, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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sequencing (Oxford Nanopore), data mining of electronic medical records and use of machine learning to predict several outcomes. Among the approaches used will be the Bayesian information-theoretic
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. 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