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Identify systemic improvement opportunities and translate them into actionable, measurable programs Operating with a high degree of autonomy, you will lead the creation of a robust framework designed to
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Background Colorectal cancer is a major health challenge, and early detection and accurate risk assessment are important for improving clinical outcomes. The increasing availability of clinical, demographic, lifestyle, laboratory, imaging and longitudinal health data provides opportunities to...
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor
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learning, algorithms, and programming. Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness
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Science depends on institutions. Journals decide what is published, reviewers assess work produced by their peers, funders choose which questions receive support, and universities reward some kinds of contribution more than others. These arrangements shape what scientists study and how carefully...
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of criminal organizations. Required knowledge Graph Theory, Machine Learning, Python programming
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or environments. This approach enhances surveillance capabilities, offering a means to attribute suspects based on behavior rather than appearance. Required knowledge Python programming Machine learning background
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for detection purposes, this project also involves collecting and/or generating different datasets for experiments. Required knowledge Python programming Machine learning background
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, including ALEC’s website, newsletters, and social media, to promote and support engagement in the national, living guidelines ALEC develops and other research programs Supporting the preparation of engaging
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This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as buses, shuttles, pods, cars and micromobility vehicles, into public transport networks. The research will investigate how heterogeneous fleets can be dynamically routed, scheduled...