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. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
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technology solutions that enable teaching, learning, research and administrative excellence. It provides secure, reliable and accessible digital solutions and services to support innovation, collaboration and
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into the School's activities. We are particularly interested in candidates with expertise in Digital Health and AI in Medicine, including machine learning (especially deep learning), natural language processing, and
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this varied and fast-paced role, you’ll manage a broad range of administrative tasks, resolve day-to-day queries, and maintain key systems that support teaching and learning. You’ll be supported by an inclusive
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Great benefits such as 17% Super, generous annual, personal and parental leave, Employee Assistance Program, Medical Hub on Campus,Novated Car Leasing, 25% discount on some short courses, personal
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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in finite element modelling and machine learning (desirable). How to apply Apply for this scholarship at the same time you apply for admission to QUT's Doctor of Philosophy . *The first step is to
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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accreditation processes and support staff capability building, promote high-quality and consistent learning experiences for students, and contribute to Departmental and School initiatives and strategic priorities
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. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and