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learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care. Your key responsibilities will be to: recruiting study participants
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data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
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anticipate the student will use statistical methods that include descriptive statistics, generalised linear models (GLMs) and structural equation models (SEMs). Supervisors: Professor Deb Loxton and Professor
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; and, economic modelling of health policies and technologies . Employment prospects PhD graduates from the Centre for Health Economics typically find employment as researchers in leading universities
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Metallurgy and Corrosion cluster, working within a multidisciplinary team spanning theory, advanced characterisation, and computational modelling. This environment provides an excellent platform for developing
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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fuels through rheological control. The project also encompasses fundamental kinetic modelling, mechanistic studies using in-situ spectroscopy, and preliminary techno-economic assessments for future scale
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and expertise and to contribute broadly to the goals of improving Victorian MCH service delivery. For example, project ideas may include: Models of Relational and Continuity of Care in MCH Contemporary
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structures. Modern three-dimensional modelling techniques have become essential for testing the performance of these structures and exploring their evolutionary implications. Scorpions, in particular, show
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Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students