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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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of policy conditions. The fellowship project is based on critical theories from fields like political economy and STS, alongside qualitative methods including document analysis and ethnography. Proposals
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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vision and pattern recognition methods, will be utilized to automate the process of fingertip detection. These methods will be trained to learn patterns from fingertip features and detect them using object
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in healthcare. Monash Nursing and Midwifery is dedicated to enhancing our capacity to lead innovative nursing curricula and pioneering teaching methods. To learn more about the School of Nursing and
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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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the position is also strengthened by sound organisational capability and the ability to complete high-volume tasks with accuracy while applying effective technical methods and processes. If you are excited by
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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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. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Strategic Sourcing Manager position is an important role that drives the development and
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Monash Leaders Scholarships Monash Leaders Scholarships are awarded to applicants that demonstrate leadership and commitment to give back to the community through the Access Monash Mentoring program