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with muscular dystrophy at an early age. This did not stop her from progressing through her academic career, gaining a BSc (Hons) in Microbiology and a PhD in Medicine, both from the University
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview This PhD project
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Global Staff Funded Scholarship (Scholarship ) has been developed to support and encourage high performing merit students participating in the Go Global Program, enabling them to undertake international
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
Laboratory is offering a unique opportunity for a motivated student to pursue an industry embedded PhD in target tracking and sensor fusion. The project will involve an intensive research programme supported
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an ARC DECRA project in conjunction with support from Curtin University. The purpose of this scholarship is to support a PhD student in researching proton batteries. Proton battery is a low-cost and safe
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will consist of an evaluation and exploration of the Department of Health's Bowel Cancer Screening Program (BCSP) in Western Australia. Participation in the WA program from 2019-2020 was 43.2% for adults
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Friendly University (EAFU) Network, an initiative of the Australian Sporting Commission. Since its conception in 2004, the EAFU Program at Curtin University has contributed significant resources to ensure
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rates (ASOR2 for full subject coordination or for staff with PhD), with delivery in 2026 at ASTU rates for tutorial and ASLE1 rates for lectures if required. https://staffportal.curtin.edu.au/employment
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the program (subject to availability and Rider Levett Bucknall’s recruitment criteria). Payment will be made in mid-late April 2026. Paid work experience may commence in 2025. Scholarship Details Eligible
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the following key capabilities: A PhD in a relevant field Demonstrated experience working with ecological datasets Demonstrated experience in statistical inference and reporting Knowledge of models and theory in