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aims to understand the supply-side drivers of patient fees for mental health services and their impact on socioeconomic inequities in access to care. It will use econometric methods and population-wide
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Honours (H1) in Civil Engineering, Materials Engineering, Environmental Engineering, Chemical Engineering, or a closely related field; or A Master’s degree with a substantial research component Application
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projects that involve data analysis, the application of artificial intelligence, the development of new detection techniques, and the exploration of new experimental methods through collaboration with our
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possess translational symmetry, the role of structure and symmetry in glasses is not established. This research programme involves the development of new x-ray and electron diffraction-based methods
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can occur that are very different to the macroscopic world. Our group develops methods to measure and ‘see’ this atomic detail using some of the world’s most powerful electron microscopes. We apply
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conducted in English. Honour’s or Master’s degree in a relevant field (immunology, infectious diseases), with a significant research component and with first-class honours/H1 awarded Details of eligibility
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, the selection committee will prioritise applicants who hold an Australian (or equivalent international) Honours or Master’s degree in a relevant field, with a significant research component and first-class
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health-related field Experience with mixed methods research, systematic reviews & data analysis Strong communication and organisational skills Australian citizenship or permanent residency (If applicable
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: finding planets, stars, and black holes through astrometric motion" "The fundamental physics that governs starlight" "First science with the Sloan Digital Sky Survey" "Data-driven methods for stellar
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-designed living evidence method across two APT pilot sites. The student will also gain expertise in developing a scoping review and conducting and disseminating living evidence syntheses to inform APT