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of up to AU$50,291 per annum. Start Date: July-August 2025 Additional financial support is available through research and teaching assistance work. The Research Opportunity This PhD research opportunity
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relevance across various surgical procedures and patient groups. Objectives 1. Algorithm Development: (a) Design and implement a deep learning algorithm for CT scan analysis. (b) Train, validate, and test the
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Preparation, Surface Finish, and their effects using Stream Finishing Technology About the Role Are you ready to push the boundaries of smart machines, industrial automation, and advanced manufacturing? Join a
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to investigate how employing visual, acoustic, and tactile stimulation on simple behavioural tasks could lead to improvements in cognitive functions such as working memory and selective attention, as well as brain
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping
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tumour recurs. Immunotherapeutic methods have been successful in treating several solid tumours but have limited efficiency against GBM. The Sonic Hedgehog (HH) pathway plays a crucial role in embryonic
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delivered to approximately 300 individuals online to test for its efficacy in reducing distress at 1 week, 1 month and 3 months after the intervention. A prospective analysis of the real-world choice and use
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the energy market, Role of EVs in the grid, Power System Stability Analysis Using Machine Learning Techniques and more. Eligibility Requirements: Applicants must be Australian citizens or Permanent Residents
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Status: Closed Applications open: 27/02/2025 Applications close: 8/04/2025 View printable version [.pdf] About this scholarship Description/Applicant information The PhD project forms part of an ARC