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Program (the Scholarship) provides up to 19 months of overseas study, including one or two semester exchange / study abroad, internship, and language training in your choice of destination. Students
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Faculty of Health Sciences Faculty of Humanities Faculty of Science & Engineering Science courses Engineering courses Western Australian School of Mines (WASM) Course type Pathways to undergraduate
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concept of this project lies in the design of novel perovskite materials as both electrolyte and electrodes for facilitating water splitting for hydrogen production. Such new technology is anticipated
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with Confidence Camp AHEAD Follow the Dream Campus Visit AHEAD Create the Dream UniReady in Schools (*) FIRST Robotics Competition Focus on Mining Program Game Changer Awards Girls Engineering Tomorrow
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the value of the spent battery materials. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type Higher Degree by Research
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to achieve energy and environmental sustainability for Australia. Student type Future Students Faculties and centres Faculty of Science & Engineering Western Australian School of Mines (WASM) Course type
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activities draw together academic, research and professional staff from a variety of science, engineering, and computing disciplines to tackle unique and demanding challenges in radio astronomy and beyond
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to quality teaching at undergraduate and postgraduate levels. Desirable: Demonstrated technical knowledge of principles and applications of distributed fibre optic sensing technology. Experience in designing
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Scholarship Program invests in future leaders who intend to use their abilities and passion to lead positive change in the community. Scholars receive a high level of financial support over the duration
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2025 HDR Scholarship - Intelligent Sensing & Perception Laboratory Postgraduate Research Scholarship
engineering, statistics or computer science Eligibility criteria Must be an Australian Citizen at the time of application Full time enrolment Background in electrical engineering, computational statistics