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Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in
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with leading researchers in the field, ensures access to high quality research platforms and equips you with the skills and knowledge to make a substantial impact. A PhD involves extensive, independent
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy. Read about our
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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experience. Knowledge of quantitative and qualitative research methods highly desirable. Proficiency in a language other than English is highly desirable. Evidence of journal or conference publications
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engagement by developing and applying digital, robotics, and sensor-based technologies to address key ageing-related challenges: enhancing cognition, promoting independence, and fostering social connectedness
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people living at home, family members and care providers. By developing and testing creative strategies, this project will generate new knowledge about interpersonal communication within a dynamic context
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platform trials across Australia. PhD candidates will receive rigorous training in public health and knowledge translation studies. You will also enjoy the potential to attend national and international
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, and social protection systems. This is an opportunity to influence national policy debates while advancing academic knowledge in applied microeconomics and labour, health, and industrial economics. You