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Agent-based computational simulations are now widely employed to study the evolution of behaviour, e.g., predator-prey simulations, the evolution of cooperation and altruism, the evolution of niches
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In this project, we will use machine learning methods to diagnose the health status of bee colonies and individual bees. Bee populations are threatened worldwide due to a number of factors
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This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in
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of the following would be useful: stakeholder engagement, (IT) system design, basic web programming, and technology evaluation. Experience in Indigenous and qualitative research methods is desirable, and Indigenous
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people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
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sits at the forefront of an international program aimed at improving the understanding and treatment of alcohol use disorder. This position will leads functional neuroimaging research and plays a key
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codebase, enhancing RESTful APIs, and applying best practice DevOps and Agile development methodologies. About you We’re looking for someone who brings: A degree in computer science, software engineering, or
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time. Our Faculty of Information Technolog y is globally recognised (ranked #40 in Data Science & AI, QS 2025 and #61 in Computer Science, Times Higher Education 2025), with our DSAI department leading
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revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems. We received a prestigious best paper award at the SDM data
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written statement with your application outlining the necessity of conducting research in Japan, a coherent research plan approved by your supervisor and a detailed program for your research trip. How